Triple

T12147296
Position Surface form Disambiguated ID Type / Status
Subject Changzhou Metro Line 1 E289357 entity
Predicate partOf P40 FINISHED
Object Changzhou Metro E289357 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: Changzhou Metro | Statement: [Changzhou Metro Line 1, partOf, Changzhou Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Changzhou Metro
Context triple: [Changzhou Metro Line 1, partOf, Changzhou Metro]
  • A. Changzhou Metro chosen
    Changzhou Metro is the urban rapid transit system serving the city of Changzhou in Jiangsu Province, China.
  • B. Nanjing Metro
    Nanjing Metro is the rapid transit system serving the city of Nanjing, China, comprising multiple urban and suburban lines that form a major part of the city's public transportation network.
  • C. Nanjing Metro Line 10
    Nanjing Metro Line 10 is an urban rapid transit line in Nanjing, China, connecting key districts on the city's western side and serving as part of the Nanjing Metro network.
  • D. Nanjing Metro Line S1
    Nanjing Metro Line S1 is an airport rail link in Nanjing, China, providing rapid transit service between the city’s urban area and Nanjing Lukou International Airport.
  • E. Hangzhou Metro
    Hangzhou Metro is the rapid transit system serving the city of Hangzhou, China, providing urban and suburban rail transportation across the metropolitan area.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4a573c8190b5dd6cc61849739b completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.