Triple

T7758233
Position Surface form Disambiguated ID Type / Status
Subject Knickerbocker Arena E175951 entity
Predicate formerNameOf P65 FINISHED
Object MVP Arena E175954 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: MVP Arena | Statement: [Knickerbocker Arena, formerNameOf, MVP Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MVP Arena
Context triple: [Knickerbocker Arena, formerNameOf, MVP Arena]
  • A. MVP Arena chosen
    MVP Arena is a multi-purpose indoor sports and entertainment venue located in Albany, New York.
  • B. M-Wave Arena
    M-Wave Arena is a large indoor speed skating and multi-purpose sports venue in Nagano, Japan, best known for hosting events during the 1998 Winter Olympics.
  • C. Viejas Arena
    Viejas Arena is a multi-purpose indoor arena on the campus of San Diego State University best known as the primary venue for the university’s major athletic and entertainment events.
  • D. Deja Blue Arena
    Deja Blue Arena was the former name of the multi-purpose sports and entertainment venue now known as the Comerica Center in Frisco, Texas.
  • E. Megasport Arena
    Megasport Arena is a large multi-purpose indoor sports and entertainment venue in Moscow, Russia, known for hosting ice hockey, basketball, and major concerts.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703dcb26881909d72a280108864bf completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cf538c8190aa86c27fff42efb0 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:09 p.m.