Triple

T6591447
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 32 E159368 entity
Predicate category P87 FINISHED
Object Wuhan Metro lines
Wuhan Metro lines are the individual rapid transit routes that make up the urban subway system serving the city of Wuhan, China.
 E11197 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 lines | Statement: [Wuhan Metro Line 32, category, Wuhan Metro lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wuhan Metro lines
Context triple: [Wuhan Metro Line 32, category, Wuhan Metro lines]
  • A. Wuhan Metro
    Wuhan Metro is the rapid transit system serving the city of Wuhan, China, providing urban rail transportation across its major districts.
  • B. Wuhan Metro Line 6
    Wuhan Metro Line 6 is a rapid transit line in Wuhan, China, forming part of the city's urban subway network and serving key districts across the metropolis.
  • C. Wuhan Metro Line 10
    Wuhan Metro Line 10 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway network.
  • D. Wuhan Metro Line 8
    Wuhan Metro Line 8 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway network.
  • E. Wuhan Metro Line 11
    Wuhan Metro Line 11 is a rapid transit line in Wuhan, China, serving as part of the city's expanding urban rail network.
  • 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 lines
Triple: [Wuhan Metro Line 32, category, Wuhan Metro lines]
Generated description
Wuhan Metro lines are the individual rapid transit routes that make up the urban subway system serving the city of Wuhan, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wuhan Metro lines
Target entity description: Wuhan Metro lines are the individual rapid transit routes that make up the urban subway system serving the city of Wuhan, China.
  • A. Wuhan Metro chosen
    Wuhan Metro is the rapid transit system serving the city of Wuhan, China, providing urban rail transportation across its major districts.
  • B. Wuhan Metro Line 6
    Wuhan Metro Line 6 is a rapid transit line in Wuhan, China, forming part of the city's urban subway network and serving key districts across the metropolis.
  • C. Wuhan Metro Line 10
    Wuhan Metro Line 10 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway network.
  • D. Wuhan Metro Line 8
    Wuhan Metro Line 8 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway network.
  • E. Wuhan Metro Line 11
    Wuhan Metro Line 11 is a rapid transit line in Wuhan, China, serving as part of the city's expanding urban rail network.
  • F. None of above.

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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aece1f848190a11676e072afb002 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d368daac8190b08158f7ea8102ac completed March 28, 2026, 1:11 p.m.
NEDg Description generation batch_69c7d3f2e2bc819091c8012e9e361a00 completed March 28, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69c7d46b7fcc819082d37f00f541e2cd completed March 28, 2026, 1:15 p.m.
Created at: March 27, 2026, 1:55 p.m.