Triple

T7586579
Position Surface form Disambiguated ID Type / Status
Subject Greenbelt Park hiking trails E179626 entity
Predicate locatedIn P40 FINISHED
Object Greenbelt Park E179622 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: Greenbelt Park | Statement: [Greenbelt Park hiking trails, locatedIn, Greenbelt Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbelt Park
Context triple: [Greenbelt Park hiking trails, locatedIn, Greenbelt Park]
  • A. Greenbelt Park chosen
    Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
  • B. Woodward Park
    Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
  • C. Courtland Park
    Courtland Park is a public recreational park located in Reidsville, North Carolina.
  • D. Greenbelt Town
    Greenbelt Town is a planned community in Greenbelt, Maryland, originally developed as a New Deal-era federal housing project.
  • E. Greenbelt
    Greenbelt is a vast network of forests, trails, and natural areas on Staten Island that serves as one of New York City's largest and most significant urban park preserves.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9970efc8190b1b9286d86331359 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86186ce4481908e528c57cdd07d2d completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.