Triple

T17687855
Position Surface form Disambiguated ID Type / Status
Subject WAWA E440941 entity
Predicate stationCodeFor P1289 FINISHED
Object Wawa railway station NE NERFINISHED

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: Wawa railway station | Statement: [WAWA, stationCodeFor, Wawa railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wawa railway station
Context triple: [WAWA, stationCodeFor, Wawa railway station]
  • A. Wawa station chosen
    Wawa station is a commuter rail station in Wawa, Pennsylvania, serving as the terminus of SEPTA's Media/Wawa Line.
  • B. Azara railway station
    Azara railway station is a small regional rail stop serving the town of Azara in Assam, India, providing local passenger connectivity within the Northeast Frontier Railway network.
  • C. Basmane railway station
    Basmane railway station is a historic central train terminal in İzmir, Turkey, serving as a major hub for regional and intercity rail services.
  • D. Wende station
    Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
  • E. Waremme railway station
    Waremme railway station is a train station in the town of Waremme in Belgium, serving as a local stop on the national railway network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704944d8819089b153aa14839fc0 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.