Triple

T3161650
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Beijing Subway) E66114 entity
Predicate terminusStation P15150 FINISHED
Object Pingguoyuan station E71775 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: Pingguoyuan station | Statement: [Line 1 (Beijing Subway), terminusStation, Pingguoyuan station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pingguoyuan station
Context triple: [Line 1 (Beijing Subway), terminusStation, Pingguoyuan station]
  • A. Pingguoyuan station chosen
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • B. Longxi Road Station
    Longxi Road Station is a Shanghai Metro station located in the city's Changning District, serving local commuters and providing access to nearby residential and commercial areas.
  • C. Beixinjing Station
    Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
  • 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. Yili Road Station
    Yili Road Station is a Shanghai Metro station located in the city's Changning District, serving as part of the urban rapid transit 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada618b9b88190afaa6d47dcad9f2c completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250fa3348190b1dc2825147a2fde completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:06 p.m.