Triple

T8158126
Position Surface form Disambiguated ID Type / Status
Subject Guan Yu E190504 entity
Predicate deathPlace P21 FINISHED
Object Linju
Linju is an ancient Chinese locality historically noted as the place where the famed general Guan Yu met his death.
 E715201 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: Linju | Statement: [Guan Yu, deathPlace, Linju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linju
Context triple: [Guan Yu, deathPlace, Linju]
  • A. Liguo
    Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • B. Leuwiliang
    Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
  • C. Jiyun
    Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
  • D. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • E. Lingbo
    Lingbo is a small village in central Sweden located within Ockelbo Municipality in Gävleborg County.
  • 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: Linju
Triple: [Guan Yu, deathPlace, Linju]
Generated description
Linju is an ancient Chinese locality historically noted as the place where the famed general Guan Yu met his death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linju
Target entity description: Linju is an ancient Chinese locality historically noted as the place where the famed general Guan Yu met his death.
  • A. Liguo
    Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • B. Leuwiliang
    Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
  • C. Jiyun
    Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
  • D. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • E. Lingbo
    Lingbo is a small village in central Sweden located within Ockelbo Municipality in Gävleborg County.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44da14a481909f8d3277762b0e75 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf21ab2c8190af23b4a3a4bdb543 completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc24c5684819093a4f58616122675 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc38e85bc8190b0f4b2435a385f47 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:38 p.m.