Triple

T3207597
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Beijing Subway) E67200 entity
Predicate hasStation P35 FINISHED
Object Tiantongyuan South station E438887 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: Tiantongyuan South station | Statement: [Line 5 (Beijing Subway), hasStation, Tiantongyuan South station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiantongyuan South station
Context triple: [Line 5 (Beijing Subway), hasStation, Tiantongyuan South station]
  • A. Tiantongyuan station
    Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
  • B. Tiantongyuan North station chosen
    Tiantongyuan North station is a northern Beijing Subway station serving the Tiantongyuan residential area and acting as the northern endpoint of Line 5.
  • C. Wanshengwei Station
    Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
  • D. Xinzhuang Station
    Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
  • E. Beixinjing Station
    Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
  • 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_69b65f07e50c8190be1d760f209c4aea completed March 15, 2026, 7:26 a.m.
Created at: March 8, 2026, 3:07 p.m.