Triple

T11715148
Position Surface form Disambiguated ID Type / Status
Subject Kensington, New South Wales E278476 entity
Predicate nearbyLandmark P350 FINISHED
Object Moore Park E141499 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: Moore Park | Statement: [Kensington, New South Wales, nearbyLandmark, Moore Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moore Park
Context triple: [Kensington, New South Wales, nearbyLandmark, Moore Park]
  • A. Moore Park chosen
    Moore Park is an inner-city suburb and major sporting and entertainment precinct in Sydney, New South Wales, Australia.
  • B. Howard Park
    Howard Park is a prominent public park and recreational area in South Bend, Indiana, known for its riverfront setting and community amenities.
  • C. Sansom Park
    Sansom Park is a small city located in Tarrant County, Texas, within the Dallas–Fort Worth metropolitan area.
  • D. Gladstone Park
    Gladstone Park is a large public park in northwest London known for its open green spaces, sports facilities, and panoramic views over the city.
  • E. Gladstone Park
    Gladstone Park is a residential suburb in Melbourne, Victoria, known for its proximity to Tullamarine Airport and family-oriented community amenities.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f684c71548819081af6734b8b7279a completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:40 p.m.