Triple

T14171911
Position Surface form Disambiguated ID Type / Status
Subject Jolly Grant Airport E351228 entity
Predicate locatedNear P294 FINISHED
Object Jolly Grant E1076408 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: Jolly Grant | Statement: [Jolly Grant Airport, locatedNear, Jolly Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jolly Grant
Context triple: [Jolly Grant Airport, locatedNear, Jolly Grant]
  • A. Jolly Grant chosen
    Jolly Grant is a locality near Dehradun in Uttarakhand, India, best known for hosting the region’s main airport.
  • B. Captain Hargreaves
    Captain Hargreaves is a fictional British army officer featured in the 1964 anti-war film "King and Country."
  • C. Souter Johnnie
    Souter Johnnie is a jovial cobbler character from Robert Burns’s narrative poem "Tam o' Shanter," known as the protagonist’s hard-drinking companion.
  • D. Hughie Flint
    Hughie Flint is an English drummer best known for his work in the 1960s British blues scene, including playing with John Mayall & the Bluesbreakers and later co-founding the band McGuinness Flint.
  • E. George Grisby
    George Grisby is a scheming, unhinged lawyer’s partner who lures the protagonist into a murderous plot in Orson Welles’s film noir *The Lady from Shanghai*.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.