Triple

T12346897
Position Surface form Disambiguated ID Type / Status
Subject Old Bayview Park E294378 entity
Predicate alsoKnownAs P39 FINISHED
Object Bayview Park E294378 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: Bayview Park | Statement: [Old Bayview Park, alsoKnownAs, Bayview Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayview Park
Context triple: [Old Bayview Park, alsoKnownAs, Bayview Park]
  • A. Old Bayview Park chosen
    Old Bayview Park was a historic football stadium in Methil, Scotland, long associated with East Fife F.C. as their traditional home ground.
  • B. Sheehan Park
    Sheehan Park is a public recreational park in Sun Prairie, Wisconsin, featuring open green spaces, sports facilities, and community amenities for local residents and visitors.
  • C. Fairview Park
    Fairview Park is a public recreational park located in the suburb of Hawthorn.
  • D. Fairview Park
    Fairview Park is a public recreational park located in Decatur, Illinois, offering green space and outdoor amenities for community use.
  • E. Fairview Park
    Fairview Park is a suburban city located on the western side of the Cleveland metropolitan area in northeastern Ohio.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff78ad38481908df2338aaf276da9 completed May 10, 2026, 3:12 a.m.
Created at: April 8, 2026, 9:53 p.m.