Triple

T9973929
Position Surface form Disambiguated ID Type / Status
Subject Whitefield E196276 entity
Predicate hasLandmark P105 FINISHED
Object Philips Park E615660 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: Philips Park | Statement: [Whitefield, hasLandmark, Philips Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philips Park
Context triple: [Whitefield, hasLandmark, Philips Park]
  • A. Philips Park chosen
    Philips Park is a public green space in Whitefield, England, offering recreational areas and natural scenery for local residents and visitors.
  • B. Philips Park, Manchester
    Philips Park in Manchester is a historic Victorian-era public park featuring landscaped gardens, woodland, and riverside paths along the River Medlock.
  • C. Carlisle Park
    Carlisle Park is a public green space in Hampton Hill, London, offering recreational facilities and open areas for community use.
  • D. Carlisle Park
    Carlisle Park is a public park in the historic market town of Morpeth, Northumberland, known for its riverside setting, formal gardens, and recreational facilities.
  • E. Hampden Park
    Hampden Park is Scotland’s national football stadium in Glasgow, renowned for hosting major domestic and international matches and historic cup finals.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7bc68608190a6545ea112850618 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23ddcc01c8190bb00ac13cbbbb1fb completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:48 p.m.