Triple

T7566131
Position Surface form Disambiguated ID Type / Status
Subject Brentford and Isleworth E178915 entity
Predicate hasLandmark P105 FINISHED
Object Syon Park E87346 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: Syon Park | Statement: [Brentford and Isleworth, hasLandmark, Syon Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syon Park
Context triple: [Brentford and Isleworth, hasLandmark, Syon Park]
  • A. Syon Park chosen
    Syon Park is a historic estate in west London known for its grand house, extensive gardens, and riverside parkland along the Thames.
  • B. Brandon Park
    Brandon Park is a public recreational park located in Williamsport, Pennsylvania, featuring open green spaces, walking paths, and community amenities.
  • C. Baglan Park
    Baglan Park is a public recreational green space serving the community of Baglan in Neath Port Talbot, Wales.
  • D. Seel Park
    Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
  • E. Ghiloni Park
    Ghiloni Park is a large public recreational area in Marlborough, Massachusetts, featuring walking trails, sports fields, playgrounds, and natural open spaces.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856dc5ea881908c2e0075f9631af4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.