Triple

T13916113
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Beijing Subway) E334623 entity
Predicate hasStation P35 FINISHED
Object Tiantongyuan North 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 North station | Statement: [Line 5 (Beijing Subway), hasStation, Tiantongyuan North station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiantongyuan North station
Context triple: [Line 5 (Beijing Subway), hasStation, Tiantongyuan North station]
  • A. 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.
  • B. Tiantongyuan station
    Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
  • C. Tonghe Xincun station
    Tonghe Xincun station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit network.
  • D. Anheqiao North station
    Anheqiao North station is a northern terminal station on the Beijing Subway serving as the end point of Line 4.
  • E. 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.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27260ae08190be45b4b15898e365 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5c72008190a3c4df20480850c9 completed May 9, 2026, 11:28 a.m.
Created at: April 9, 2026, 10:16 p.m.