Triple

T20153199
Position Surface form Disambiguated ID Type / Status
Subject Wycliffe E491487 entity
Predicate productionCompany P490 FINISHED
Object HTV 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: HTV | Statement: [Wycliffe, productionCompany, HTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTV
Context triple: [Wycliffe, productionCompany, HTV]
  • A. HTV
    HTV is a Japanese uncrewed cargo spacecraft, also known as the H-II Transfer Vehicle, used to deliver supplies to the International Space Station.
  • B. HTV chosen
    HTV was a British regional television company and ITV franchise holder serving Wales and the West of England.
  • C. TVH
    TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
  • D. FTV
    FTV is the stock ticker symbol for Fortive Corporation, a diversified industrial technology company listed on the New York Stock Exchange.
  • E. BTV
    BTV is the three-letter IATA airport code for Burlington International Airport, serving the Burlington, Vermont area in the United States.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dda9b4819097ff66bb2b50fc21 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.