Triple

T9692580
Position Surface form Disambiguated ID Type / Status
Subject Ancient China E234568 entity
Predicate medicalText P89651 FINISHED
Object Huangdi Neijing
The Huangdi Neijing is a foundational classical text of Chinese medicine that systematically presents theories of health, disease, diagnosis, and treatment based on concepts like qi, yin-yang, and the five phases.
E815745 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Huangdi Neijing | Statement: [Ancient China, medicalText, Huangdi Neijing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangdi Neijing
Context triple: [Ancient China, medicalText, Huangdi Neijing]
  • A. Bencao Gangmu
    Bencao Gangmu is a monumental 16th-century Chinese pharmacopeia and natural history encyclopedia that systematically documents medicinal substances, their properties, and uses in traditional Chinese medicine.
  • B. The Book of Medicines
    The Book of Medicines is a poetry collection by Chickasaw writer Linda Hogan that weaves Indigenous spirituality, environmental themes, and personal healing into lyrical meditations on land and body.
  • C. Compendium of Materia Medica
    The Compendium of Materia Medica is a monumental 16th-century Chinese pharmacopeia that systematically catalogs medicinal substances, their properties, and uses, and is regarded as one of the most important works in the history of traditional Chinese medicine.
  • D. Yijing
    Yijing was a 7th-century Chinese Buddhist monk, scholar, and translator renowned for his extensive travels to India and Southeast Asia to study and transmit Buddhist teachings.
  • E. Hou Hanshu
    Hou Hanshu is an official history of the Eastern Han dynasty of China, compiled in the 5th century and renowned for its detailed accounts of politics, society, and foreign relations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Huangdi Neijing
Triple: [Ancient China, medicalText, Huangdi Neijing]
Generated description
The Huangdi Neijing is a foundational classical text of Chinese medicine that systematically presents theories of health, disease, diagnosis, and treatment based on concepts like qi, yin-yang, and the five phases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huangdi Neijing
Target entity description: The Huangdi Neijing is a foundational classical text of Chinese medicine that systematically presents theories of health, disease, diagnosis, and treatment based on concepts like qi, yin-yang, and the five phases.
  • A. Bencao Gangmu
    Bencao Gangmu is a monumental 16th-century Chinese pharmacopeia and natural history encyclopedia that systematically documents medicinal substances, their properties, and uses in traditional Chinese medicine.
  • B. The Book of Medicines
    The Book of Medicines is a poetry collection by Chickasaw writer Linda Hogan that weaves Indigenous spirituality, environmental themes, and personal healing into lyrical meditations on land and body.
  • C. Compendium of Materia Medica
    The Compendium of Materia Medica is a monumental 16th-century Chinese pharmacopeia that systematically catalogs medicinal substances, their properties, and uses, and is regarded as one of the most important works in the history of traditional Chinese medicine.
  • D. Yijing
    Yijing was a 7th-century Chinese Buddhist monk, scholar, and translator renowned for his extensive travels to India and Southeast Asia to study and transmit Buddhist teachings.
  • E. Hou Hanshu
    Hou Hanshu is an official history of the Eastern Han dynasty of China, compiled in the 5th century and renowned for its detailed accounts of politics, society, and foreign relations.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: medicalText
Context triple: [Ancient China, medicalText, Huangdi Neijing]
  • A. medicalEvent
    Indicates that a specific health-related occurrence or clinical incident has taken place involving one or more entities.
  • B. clinicalForm
    Indicates the specific clinical manifestation or presentation type associated with a medical condition or case.
  • C. clinicalBaseOf
    Indicates that one clinical entity serves as the foundational basis or underlying source for another clinical entity (such as a diagnosis, assessment, or decision).
  • D. clinicalSignOf
    Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
  • E. medicalCar
    Indicates that an entity is a vehicle used for providing medical transport or emergency medical services to another entity.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d05d70c8190b1ddcd24b50b4f50 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911d33f081908637cbf4c1949bcd completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19533ef1c8190926ffb4eb92b8ef4 completed April 4, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69d195b69a4c8190941b92cc36bdc416 completed April 4, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69ccd5b840f081909f66bf0b66d17d9b completed April 1, 2026, 8:22 a.m.
PDg Predicate description generation batch_69ccd9408c848190b84dd74d87f76273 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:17 p.m.