Triple

T6619863
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Barnet E149645 entity
Predicate hasRailwayStation P918 FINISHED
Object Oakleigh Park E644121 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: Oakleigh Park | Statement: [London Borough of Barnet, hasRailwayStation, Oakleigh Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakleigh Park
Context triple: [London Borough of Barnet, hasRailwayStation, Oakleigh Park]
  • A. Oakleigh Park chosen
    Oakleigh Park is a suburban residential area in north London known for its quiet streets, green spaces, and commuter rail links into central London.
  • B. 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.
  • C. Sansom Park
    Sansom Park is a small city located in Tarrant County, Texas, within the Dallas–Fort Worth metropolitan area.
  • D. Murry Park
    Murry Park is a public recreational park located in the city of Porterville in California’s Central Valley.
  • E. Howard Park
    Howard Park is a prominent public park and recreational area in South Bend, Indiana, known for its riverfront setting and 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af5ca97481909f8a7dc47249b4d3 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf66c0308190a09736eafe61c966 completed March 28, 2026, 11:45 a.m.
Created at: March 27, 2026, 1:58 p.m.