Triple

T12456224
Position Surface form Disambiguated ID Type / Status
Subject St. Louis Arena E297666 entity
Predicate alsoKnownAs P39 FINISHED
Object Checkerdome E297666 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: Checkerdome | Statement: [St. Louis Arena, alsoKnownAs, Checkerdome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Checkerdome
Context triple: [St. Louis Arena, alsoKnownAs, Checkerdome]
  • A. Checkerdome chosen
    Checkerdome was the popular nickname for the St. Louis Arena, a historic indoor sports and entertainment venue in St. Louis, Missouri.
  • B. Chequerbent
    Chequerbent is a suburban area within the town of Westhoughton in Greater Manchester, England.
  • C. Domee
    Domee is a Chinese-Canadian animator, storyboard artist, and director best known for her Academy Award–winning Pixar short film "Bao" and her feature film "Turning Red."
  • D. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • E. Koewacht
    Koewacht is a village in the Dutch province of Zeeland, situated near the Belgian border and administratively part of the municipality of Terneuzen.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da2a3cc81908de5a85257627fe2 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba170908190b7b52ba3e725ea5e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.