Triple

T14407158
Position Surface form Disambiguated ID Type / Status
Subject Brendan Byrne Arena E357228 entity
Predicate architect P184 FINISHED
Object Grad Partnership E564360 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: Grad Partnership | Statement: [Brendan Byrne Arena, architect, Grad Partnership]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grad Partnership
Context triple: [Brendan Byrne Arena, architect, Grad Partnership]
  • A. Grad Partnership chosen
    Grad Partnership is an architectural firm known for designing major public venues, including large sports and entertainment arenas.
  • B. Grado
    Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
  • C. Higher Learning
    Higher Learning is a critically acclaimed mixtape by rapper Fashawn that helped establish his reputation in the underground hip-hop scene.
  • D. Higher Learning
    Higher Learning is a 1995 drama film written and directed by John Singleton that explores race, identity, and violence on a college campus.
  • E. CollegePass
    CollegePass is a discounted transit pass program that provides college and university students with unlimited access to Regional Transportation District (RTD) bus and rail services.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c7a068819081b4b516983a1412 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5524e26c81909424b5ba88b5f330 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.