Triple

T6086705
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 4 E135655 entity
Predicate connectsWith P37 FINISHED
Object Wuhan Metro Line 7 E138324 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 Line 7 | Statement: [Wuhan Metro Line 4, connectsWith, Wuhan Metro Line 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuhan Metro Line 7
Context triple: [Wuhan Metro Line 4, connectsWith, Wuhan Metro Line 7]
  • A. Wuhan Metro Line 7 chosen
    Wuhan Metro Line 7 is a rapid transit line in Wuhan, China, forming part of the city’s urban subway network and connecting key districts across the Yangtze River.
  • 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 8
    Wuhan Metro Line 8 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway network.
  • D. Wuhan Metro Line 27
    Wuhan Metro Line 27 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
  • E. Wuhan Metro Line 5
    Wuhan Metro Line 5 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0578a8b8081908490e447ae3419f9 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c36eac4819095b6a2b9e8a277f0 completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:12 p.m.