Triple

T23498389
Position Surface form Disambiguated ID Type / Status
Subject Burton Joyce E571765 entity
Predicate locatedNear P294 FINISHED
Object Carlton NE NERFINISHED

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: Carlton | Statement: [Burton Joyce, locatedNear, Carlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlton
Context triple: [Burton Joyce, locatedNear, Carlton]
  • A. Carlton chosen
    Carlton is a town in Nottinghamshire, England, situated just east of the city of Nottingham.
  • B. Carlton
    Carlton is a small unincorporated rural community in Washington State’s Methow Valley, known for its scenic setting along the Methow River and outdoor recreation opportunities.
  • C. Carlton
    Carlton is a village and civil parish located within the English county of Suffolk.
  • D. Carlton
    Carlton is a surname of English origin borne by various notable individuals, including actors such as Timothy Carlton.
  • E. Carlton
    Carlton is a former British television company and brand best known for operating ITV franchises and producing a wide range of UK television programming in the 1990s and early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e184ec8190aff3677c9b00a8f2 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:06 p.m.