Triple

T5855340
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 1 E130136 entity
Predicate partOf P40 FINISHED
Object Wuhan urban rail network 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 urban rail network | Statement: [Wuhan Metro Line 1, partOf, Wuhan urban rail network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuhan urban rail network
Context triple: [Wuhan Metro Line 1, partOf, Wuhan urban rail network]
  • 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 10
    Wuhan Metro Line 10 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway network.
  • C. 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.
  • D. Wuhan Metro Line 16
    Wuhan Metro Line 16 is a suburban rapid transit line in Wuhan, China, connecting the urban core with outlying districts as part of the city’s expanding metro network.
  • E. Wuhan Metro Line 28
    Wuhan Metro Line 28 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03554651c8190b3009d41eecf6779 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1134931c48190b4a849c8f16723e3 completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 3:55 p.m.