Triple

T1120462
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro E11197 entity
Predicate hasLine P35 FINISHED
Object Wuhan Metro Line 37
Wuhan Metro Line 37 is a planned rapid transit line intended to expand and enhance the urban rail network in Wuhan, China.
 E168552 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: Wuhan Metro Line 37 | Statement: [Wuhan Metro, hasLine, Wuhan Metro Line 37]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wuhan Metro Line 37
Context triple: [Wuhan Metro, hasLine, Wuhan Metro Line 37]
  • A. Wuhan Metro Line 33
    Wuhan Metro Line 33 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
  • B. Wuhan Metro Line 31
    Wuhan Metro Line 31 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
  • C. Wuhan Metro Line 36
    Wuhan Metro Line 36 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
  • D. Wuhan Metro Line 34
    Wuhan Metro Line 34 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
  • E. Wuhan Metro Line 35
    Wuhan Metro Line 35 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
  • 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: Wuhan Metro Line 37
Triple: [Wuhan Metro, hasLine, Wuhan Metro Line 37]
Generated description
Wuhan Metro Line 37 is a planned rapid transit line intended to expand and enhance the urban rail network in Wuhan, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wuhan Metro Line 37
Target entity description: Wuhan Metro Line 37 is a planned rapid transit line intended to expand and enhance the urban rail network in Wuhan, China.
  • A. Wuhan Metro Line 33
    Wuhan Metro Line 33 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
  • B. Wuhan Metro Line 31
    Wuhan Metro Line 31 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
  • C. Wuhan Metro Line 36
    Wuhan Metro Line 36 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
  • D. Wuhan Metro Line 34
    Wuhan Metro Line 34 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
  • E. Wuhan Metro Line 35
    Wuhan Metro Line 35 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad158c492c819081988cc99c6f3f0b completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad162d7d08819085108fa5bb33f40f completed March 8, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad16a5c76c8190a0bb3ccf5557b1b0 completed March 8, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:43 p.m.