Triple

T23083239
Position Surface form Disambiguated ID Type / Status
Subject World Poker Tour E575533 entity
Predicate originalNetwork P2594 FINISHED
Object Travel Channel 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: Travel Channel | Statement: [World Poker Tour, originalNetwork, Travel Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travel Channel
Context triple: [World Poker Tour, originalNetwork, Travel Channel]
  • A. Travel Channel chosen
    Travel Channel is an American cable television network focused on travel, adventure, and exploration-themed programming around the world.
  • B. The Travel Show
    The Travel Show is a BBC travel documentary series that explores global destinations, cultures, and experiences through on-location reports and features.
  • C. Sky Channel
    Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
  • D. United Travel Getaway
    United Travel Getaway was a New Zealand television travel show known for showcasing holiday destinations and experiences to local audiences.
  • E. Hovertravel
    Hovertravel is a British ferry company best known for operating passenger hovercraft services between mainland England and the Isle of Wight.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da304548190ab7a421c1ded0eb6 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:56 p.m.