Triple

T18494460
Position Surface form Disambiguated ID Type / Status
Subject Montrose E451903 entity
Predicate hasSportsFacility P105 FINISHED
Object Links Park NE NERFINISHED

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: Links Park | Statement: [Montrose, hasSportsFacility, Links Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Links Park
Context triple: [Montrose, hasSportsFacility, Links Park]
  • A. Links Park chosen
    Links Park is a football stadium in Montrose, Scotland, primarily known as the home ground of Montrose F.C.
  • B. Braddock Hills, Pennsylvania
    Braddock Hills, Pennsylvania is a small residential borough in Allegheny County near Pittsburgh, known for its hillside neighborhoods and proximity to several other eastern suburbs.
  • C. Rittenhouse Gap, Pennsylvania
    Rittenhouse Gap, Pennsylvania is a small community in Lehigh County named in honor of American astronomer and inventor David Rittenhouse.
  • D. Mont Clare, Pennsylvania
    Mont Clare, Pennsylvania is a small unincorporated community and village along the Schuylkill River in Montgomery County, known for its historic character and proximity to Phoenixville.
  • E. Pulaski, Pennsylvania
    Pulaski, Pennsylvania is a small unincorporated community in Lawrence County known for its rural character within western Pennsylvania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532bf206c8190a146cd1abd752152 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.