Triple

T19999079
Position Surface form Disambiguated ID Type / Status
Subject Expedition Unknown E494270 entity
Predicate firstAiredOnNetwork P833 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: [Expedition Unknown, firstAiredOnNetwork, Travel Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travel Channel
Context triple: [Expedition Unknown, firstAiredOnNetwork, 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a09bdc819083305b08a11c6e34 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.