Triple

T12495284
Position Surface form Disambiguated ID Type / Status
Subject Wakefield Westgate railway station E298667 entity
Predicate stationCode P1289 FINISHED
Object WKF E914665 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: WKF | Statement: [Wakefield Westgate railway station, stationCode, WKF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WKF
Context triple: [Wakefield Westgate railway station, stationCode, WKF]
  • A. WKF chosen
    WKF is the IATA airport code for Air Force Base Waterkloof, a major South African Air Force installation near Pretoria.
  • B. WKO
    WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
  • C. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • D. IKF
    IKF is the International Kabaddi Federation, the global governing body responsible for overseeing and promoting the sport of kabaddi worldwide.
  • E. K-1
    K-1 is a partially reusable two-stage orbital launch vehicle concept developed by Rocketplane Kistler for commercial satellite delivery and space station resupply.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de4089c8190917a45365e641437 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64badad488190ae1c6c2883a88a4b completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.