Triple

T22910385
Position Surface form Disambiguated ID Type / Status
Subject Dunlop Phoenix Tournament E568572 entity
Predicate organizer P123 FINISHED
Object Dunlop E392683 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: Dunlop | Statement: [Dunlop Phoenix Tournament, organizer, Dunlop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunlop
Context triple: [Dunlop Phoenix Tournament, organizer, Dunlop]
  • A. Dunlop
    Dunlop is the middle name of A. D. Lindsay, a British academic and philosopher.
  • B. Dunlop
    Dunlop is a surname of Scottish and Irish origin borne by numerous notable individuals across fields such as motorsport, music, and manufacturing.
  • C. Dunlop chosen
    Dunlop is a well-known tire manufacturer that produces high-performance motorcycle and automotive tires used in both professional racing and everyday driving.
  • D. Dunlop
    Dunlop is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • E. Goodyear
    Goodyear is a rapidly growing suburban city in the Phoenix metropolitan area of Arizona, known for its master-planned communities, spring training baseball facilities, and proximity to desert recreation.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1807350008190a057e8fb5c363c5f completed April 29, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9d19058819086e2e692adcb0ab0 completed May 19, 2026, 1:16 a.m.
Created at: April 17, 2026, 3:42 p.m.