Triple

T4405905
Position Surface form Disambiguated ID Type / Status
Subject Al-Razi E93731 entity
Predicate hasLatinName P3646 FINISHED
Object Rasis
Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
 E437653 NE FINISHED

How this triple was built (4 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: Rasis | Statement: [Al-Razi, hasLatinName, Rasis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rasis
Context triple: [Al-Razi, hasLatinName, Rasis]
  • A. Etnedal
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • B. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • C. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • D. Rhodogune
    Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
  • E. Kaska
    Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
  • 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: Rasis
Triple: [Al-Razi, hasLatinName, Rasis]
Generated description
Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rasis
Target entity description: Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
  • A. Etnedal
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • B. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • C. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • D. Rhodogune
    Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
  • E. Kaska
    Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
  • F. None of above. chosen

Provenance (5 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35489f6948190a4b2c259f64b4abf completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6058f2c8190a50862d1a4607f3c completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f72c17fc819098c32cf56431e431 completed March 15, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69b5f7b0ef808190a913f494fdf5bb6d completed March 15, 2026, 12:05 a.m.
Created at: March 12, 2026, 11:28 p.m.