Triple

T7968205
Position Surface form Disambiguated ID Type / Status
Subject Guangzhou Metro Line 3 E185258 entity
Predicate hasInterchange P3495 FINISHED
Object Tiyu Xilu station E207362 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: Tiyu Xilu station | Statement: [Guangzhou Metro Line 3, hasInterchange, Tiyu Xilu station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiyu Xilu station
Context triple: [Guangzhou Metro Line 3, hasInterchange, Tiyu Xilu station]
  • A. Tiyu Xilu Station chosen
    Tiyu Xilu Station is a major interchange and one of the busiest metro stations in Guangzhou, China, serving as a key hub in the Guangzhou Metro network.
  • B. Xitucheng station
    Xitucheng station is a subway station on the Beijing Subway system serving the Haidian District area.
  • C. Huoying station
    Huoying station is an interchange stop on the Beijing Subway that connects passengers to Line 13 and other transit services in the northern part of the city.
  • D. Yuzhilu station
    Yuzhilu station is a subway station on Beijing's extensive metro network, serving passengers along Line 8.
  • E. Weiwuying Station
    Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566afad88190b53f228d836619de completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:13 p.m.