Triple

T23076470
Position Surface form Disambiguated ID Type / Status
Subject Great Haywood Junction E575343 entity
Predicate locatedIn P40 FINISHED
Object Great Haywood 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: Great Haywood | Statement: [Great Haywood Junction, locatedIn, Great Haywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Haywood
Context triple: [Great Haywood Junction, locatedIn, Great Haywood]
  • A. Great Haywood chosen
    Great Haywood is a village in Staffordshire, England, known for its scenic canalside location where major waterways meet and for its surrounding rural landscape.
  • B. Ripper Roo
    Ripper Roo is a deranged, hyperactive kangaroo villain from the Crash Bandicoot video game series, known for his manic laughter and explosive attacks.
  • C. Charles Byrne
    Charles Byrne is an American publisher best known as a co-founder of Berkley Books, a major mass-market paperback imprint.
  • D. John Ridd
    John Ridd is the steadfast West Country farmer and protagonist of R.D. Blackmore’s novel "Lorna Doone," known for his courage, loyalty, and enduring love for Lorna.
  • E. Thomas Hayter
    Thomas Hayter was an 18th-century British naval administrator who served in a senior bureaucratic role overseeing Royal Navy affairs.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c63870c81909a08a3b410c0d417 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.