Triple

T6023588
Position Surface form Disambiguated ID Type / Status
Subject Qiaokou District E134120 entity
Predicate hasTransport P1298 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: [Qiaokou District, hasTransport, Wuhan Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuhan Metro
Context triple: [Qiaokou District, hasTransport, 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fbd7978819085d683578bc62aa3 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3b108c48190a11ad1a9440fcb12 completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:07 p.m.