Triple

T8745381
Position Surface form Disambiguated ID Type / Status
Subject Wigan North Western railway station E207812 entity
Predicate stationCode P1289 FINISHED
Object WGN E549666 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: WGN | Statement: [Wigan North Western railway station, stationCode, WGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WGN
Context triple: [Wigan North Western railway station, stationCode, WGN]
  • A. WGN chosen
    WGN is the National Rail station code for Wigan North Western railway station in Greater Manchester, England.
  • B. WGN-TV
    WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
  • C. WGN America
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • D. WGN Radio
    WGN Radio is a historic Chicago-based AM radio station known for its news, talk, and sports programming and long association with the Chicago Tribune.
  • E. GMA News TV
    GMA News TV is a Philippine free-to-air television network known for its news, public affairs, and informational programming.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d745e0081909cab216593d5c01b completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43090d388190b6256623805a6348 completed April 3, 2026, 4:33 a.m.
Created at: March 30, 2026, 6:38 p.m.