Triple

T11051804
Position Surface form Disambiguated ID Type / Status
Subject Staten Island E261271 entity
Predicate containsSettlement P847 FINISHED
Object Oakwood E159299 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: Oakwood | Statement: [Staten Island, containsSettlement, Oakwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakwood
Context triple: [Staten Island, containsSettlement, Oakwood]
  • A. Oakwood
    Oakwood is a small village located in Clay County, Missouri, within the Kansas City metropolitan area.
  • B. Oakwood chosen
    Oakwood is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to the island’s eastern shore.
  • C. Oakwood
    Oakwood is a suburban residential area in North London known for its proximity to Oakwood Underground station on the Piccadilly line and nearby green spaces.
  • D. Oakwood
    Oakwood is a village in Cuyahoga County, Ohio, that forms part of the southeastern suburban area of Greater Cleveland.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986c0df88190b29d71db5538450a completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86052148190adfc250c3dd27094 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.