Triple

T6591432
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 32 E159368 entity
Predicate system P730 FINISHED
Object Wuhan Metro E11197 NE FINISHED

How this triple was built (2 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 | Statement: [Wuhan Metro Line 32, system, Wuhan Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuhan Metro
Context triple: [Wuhan Metro Line 32, system, Wuhan Metro]
  • 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 1
    Wuhan Metro Line 1 is a major rapid transit line in Wuhan, China, forming part of the city's urban rail network and serving key districts along an east–west corridor.
  • C. Wuhan Metro Line 21
    Wuhan Metro Line 21 is a rapid transit line in Wuhan, China, serving as part of the city's expanding urban rail network.
  • D. 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.
  • E. Wuhan Metro Line 2
    Wuhan Metro Line 2 is a major east–west rapid transit line in Wuhan, China, notable for being the city’s first cross-Yangtze River metro line and a key backbone of its urban rail network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c7cbabb8848190bb541957176b0ca1 completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 1:55 p.m.