Triple

T10302743
Position Surface form Disambiguated ID Type / Status
Subject Warden station E241672 entity
Predicate servesNeighbourhood P82 FINISHED
Object Oakridge E164144 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: Oakridge | Statement: [Warden station, servesNeighbourhood, Oakridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakridge
Context triple: [Warden station, servesNeighbourhood, Oakridge]
  • A. Oakridge
    Oakridge is a residential neighborhood within the town of Basingstoke in Hampshire, England.
  • B. Oakridge chosen
    Oakridge is a residential neighbourhood located in the eastern Toronto district of Scarborough, Ontario, Canada.
  • C. Oakridge
    Oakridge is a residential neighborhood within the affluent suburban community of Blackhawk in Contra Costa County, California.
  • D. Oakwood
    Oakwood is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to the island’s eastern shore.
  • E. Oakwood
    Oakwood is a historically Black Seventh-day Adventist university in Huntsville, Alabama, known for its strong liberal arts and religious studies programs.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30846108190875042ab1c0204e0 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7501f76e081908a7509a877c72b82 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:45 a.m.