Triple

T13334992
Position Surface form Disambiguated ID Type / Status
Subject Duke of Northumberland's River E317664 entity
Predicate flowsNear P350 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: [Duke of Northumberland's River, flowsNear, Syon Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syon Park
Context triple: [Duke of Northumberland's River, flowsNear, 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.