Triple

T15665350
Position Surface form Disambiguated ID Type / Status
Subject Wenhu line E377171 entity
Predicate hasStation P35 FINISHED
Object Songshan Airport station E376174 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: Songshan Airport station | Statement: [Wenhu line, hasStation, Songshan Airport station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Songshan Airport station
Context triple: [Wenhu line, hasStation, Songshan Airport station]
  • A. Songshan Airport metro station chosen
    Songshan Airport metro station is a Taipei Metro station that serves as the rapid transit access point for Taipei Songshan Airport.
  • B. Hongqiao Airport Terminal 1 Station
    Hongqiao Airport Terminal 1 Station is a Shanghai Metro station serving Terminal 1 of Shanghai Hongqiao International Airport in Changning District.
  • C. Guanyinsi station
    Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
  • D. Pingguoyuan station
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • E. Zhongnan Road Station
    Zhongnan Road Station is a major interchange stop on the Wuhan Metro, serving as a key transit hub in the city’s central Wuchang 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed8d9188190a68035d2508b117d completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:16 a.m.