Triple

T10522215
Position Surface form Disambiguated ID Type / Status
Subject Chapman Stadium E248201 entity
Predicate hasFieldName P34760 FINISHED
Object Skelly Field E869228 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: Skelly Field | Statement: [Chapman Stadium, hasFieldName, Skelly Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skelly Field
Context triple: [Chapman Stadium, hasFieldName, Skelly Field]
  • A. Skelly Field chosen
    Skelly Field is the historic football venue in Tulsa, Oklahoma, that long served as the home stadium for the University of Tulsa Golden Hurricane before being renamed Chapman Stadium.
  • B. Reeves Field
    Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
  • C. Sanderson Field
    Sanderson Field is a public airport serving the city of Shelton and the surrounding Mason County area in Washington State.
  • D. Eaker Field
    Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
  • E. Hutchinson Field
    Hutchinson Field is a large open lawn and event space within Chicago’s Grant Park, often used for concerts, festivals, and public gatherings.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e0907481908807dd99980cba1f completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b13f4fc8190863d6e1aa7da5733 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:29 p.m.