Triple

T3489242
Position Surface form Disambiguated ID Type / Status
Subject Fuxingmen station E73684 entity
Predicate isTransferPointBetween P21487 FINISHED
Object Line 1 and Line 2 E66115 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: Line 1 and Line 2 | Statement: [Fuxingmen station, isTransferPointBetween, Line 1 and Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 1 and Line 2
Context triple: [Fuxingmen station, isTransferPointBetween, Line 1 and Line 2]
  • A. Line 2
    Line 2 is a major east–west rapid transit route of the Shanghai Metro that connects key commercial, residential, and airport hubs across the city.
  • B. Line 2 chosen
    Line 2 is a circular rapid transit line of the Beijing Subway that runs around the city center, roughly following the path of the old city walls and the 2nd Ring Road.
  • C. Line 2
    Line 2 is a major rapid transit route of the Guangzhou Metro system that runs through key urban districts and serves as one of the network’s primary north–south corridors.
  • D. Line 2
    Line 2 is a planned rapid transit route of the Ho Chi Minh City Metro intended to connect key urban districts and relieve traffic congestion in Vietnam’s largest city.
  • E. Line 2
    Line 2 is a circular line of the Brussels Metro system that serves central and surrounding districts of the Belgian capital.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb92b3ac8190b8675f5a5e9d4408 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373bb0e00819087899a394f50295d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.