Triple

T6112334
Position Surface form Disambiguated ID Type / Status
Subject Lin Liguo E136272 entity
Predicate givenName P17 FINISHED
Object Liguo
Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
 E569273 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: Liguo | Statement: [Lin Liguo, givenName, Liguo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liguo
Context triple: [Lin Liguo, givenName, Liguo]
  • A. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • B. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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: Liguo
Triple: [Lin Liguo, givenName, Liguo]
Generated description
Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liguo
Target entity description: Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • A. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • B. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbde2048190909aa3a8097bcf93 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125631e008190921206b9e355202b completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1281a40a0819083e1ed6fe5433016 completed March 23, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69c12891264c81908eec332350863b4a completed March 23, 2026, 11:48 a.m.
Created at: March 22, 2026, 4:13 p.m.