Triple

T15476463
Position Surface form Disambiguated ID Type / Status
Subject Taoyuan Airport MRT E376791 entity
Predicate hasStation P35 FINISHED
Object Huanbei Station E1203608 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: Huanbei Station | Statement: [Taoyuan Airport MRT, hasStation, Huanbei Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huanbei Station
Context triple: [Taoyuan Airport MRT, hasStation, Huanbei Station]
  • A. Huanbei Station chosen
    Huanbei Station is a metro station in Taoyuan, Taiwan, serving as one end of the Taoyuan Airport MRT line and providing access to the surrounding urban area.
  • B. 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.
  • C. Gaobeidian Station
    Gaobeidian Station is a Beijing Subway station serving the eastern part of the city along Line 1.
  • D. Daliao Station
    Daliao Station is a metro station in Kaohsiung, Taiwan, serving as the eastern endpoint of the Kaohsiung MRT Orange Line.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035450810819092796c556dfa8ed3 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 3:34 a.m.