Triple

T3207598
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Beijing Subway) E67200 entity
Predicate hasStation P35 FINISHED
Object Lishuiqiao station E423132 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: Lishuiqiao station | Statement: [Line 5 (Beijing Subway), hasStation, Lishuiqiao station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lishuiqiao station
Context triple: [Line 5 (Beijing Subway), hasStation, Lishuiqiao station]
  • A. Lishuiqiao station chosen
    Lishuiqiao station is a Beijing Subway interchange station in northern Beijing that connects Line 13 with other urban rail lines and serves nearby residential and commercial areas.
  • B. Gongyixiqiao station
    Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
  • C. Wanshengwei Station
    Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
  • D. Sanyuanqiao station
    Sanyuanqiao station is a major interchange stop in Beijing’s subway network that connects the Capital Airport Express with other urban metro lines, serving as a key access point to Beijing Capital International Airport.
  • E. Tiantongyuan station
    Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa58340881908347d772cfa0ac4c completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b1c9cb881908df6998f752f13d0 completed March 15, 2026, 8:17 a.m.
Created at: March 8, 2026, 3:07 p.m.