Triple

T15046335
Position Surface form Disambiguated ID Type / Status
Subject Burtonwood E379233 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Westbrook E962814 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: Westbrook | Statement: [Burtonwood, hasNearbySettlement, Westbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westbrook
Context triple: [Burtonwood, hasNearbySettlement, Westbrook]
  • A. Westbrook chosen
    Westbrook is a small coastal town in Middlesex County, Connecticut, known for its shoreline along Long Island Sound and New England seaside character.
  • B. Russell Westbrook
    Russell Westbrook is an American professional basketball point guard known for his explosive athleticism, relentless playing style, and multiple NBA triple-double and MVP accolades.
  • C. Siakam
    Siakam is the surname of Pascal Siakam, a Cameroonian professional basketball player and NBA All-Star.
  • D. Randle
    Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
  • E. Durant
    Durant is a surname most famously associated with William C. Durant, the pioneering American automobile magnate who co-founded General Motors.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.