Triple

T10537099
Position Surface form Disambiguated ID Type / Status
Subject Lansdowne, Pennsylvania E248594 entity
Predicate hasLandmark P105 FINISHED
Object Hoffman Park E830845 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: Hoffman Park | Statement: [Lansdowne, Pennsylvania, hasLandmark, Hoffman Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoffman Park
Context triple: [Lansdowne, Pennsylvania, hasLandmark, Hoffman Park]
  • A. Hoffman Park chosen
    Hoffman Park is a local public park located in Lansdowne, providing green space and recreational amenities for the surrounding community.
  • B. Bushnell Park
    Bushnell Park is a historic public park in downtown Hartford, Connecticut, known for its scenic landscapes, monuments, and role as a central civic gathering space.
  • C. Ackerman Park
    Ackerman Park is a public recreational park in Glen Ellyn, Illinois, featuring sports facilities, open green spaces, and community amenities.
  • D. Kauffman Park
    Kauffman Park is a public recreational park located in the city of Lakewood, Ohio.
  • E. Davis Park
    Davis Park is a small, seasonal beach community on Fire Island, New York, known for its quiet atmosphere, boardwalks, and oceanfront homes.
  • 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_69d50a554fb4819081e9618bab051dc6 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b1b0de8819089e39ec76e6bdf59 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:31 p.m.