Triple

T16346030
Position Surface form Disambiguated ID Type / Status
Subject Great Conservatory E396933 entity
Predicate location P40 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: [Great Conservatory, location, Syon Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syon Park
Context triple: [Great Conservatory, location, 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. Curia Park
    Curia Park is a historic spa and leisure park in Portugal known for its thermal springs, landscaped gardens, and grand hotel complex.
  • D. Baglan Park
    Baglan Park is a public recreational green space serving the community of Baglan in Neath Port Talbot, Wales.
  • E. Sulman Park
    Sulman Park is a high-speed, uphill section of the Mount Panorama Circuit in Bathurst, Australia, known for its challenging blind crest and dramatic elevation change.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0ec7e08190982a0de8ba5da105 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db1cd288190a85fa2479369ef4f completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.