Triple

T4682572
Position Surface form Disambiguated ID Type / Status
Subject Hefei Metro E103838 entity
Predicate hasLine P35 FINISHED
Object Hefei Metro Line 3 E103838 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: Hefei Metro Line 3 | Statement: [Hefei Metro, hasLine, Hefei Metro Line 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hefei Metro Line 3
Context triple: [Hefei Metro, hasLine, Hefei Metro Line 3]
  • A. Hefei Metro chosen
    Hefei Metro is the rapid transit system serving Hefei, the capital city of China’s Anhui Province, providing urban rail transportation across the metropolitan area.
  • B. Wuhan Metro Line 3
    Wuhan Metro Line 3 is a rapid transit line in Wuhan, China, forming part of the city's urban rail network and connecting key districts across the metropolitan area.
  • C. Nanchang Metro
    Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
  • D. Shanghai Metro Line 3
    Shanghai Metro Line 3 is a major elevated north–south rapid transit line in Shanghai, China, known for connecting key railway hubs and urban districts across the city.
  • E. Huainan railway
    Huainan railway is a major rail line in Anhui Province, China, connecting key cities such as Hefei and facilitating regional passenger and freight transport.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd637fedd0819097f59734a9f9a01f completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39ca8f6081909aecde545f211bb9 completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:16 p.m.