Triple

T19700484
Position Surface form Disambiguated ID Type / Status
Subject Heritage School E473080 entity
Predicate town P3385 FINISHED
Object Charlton 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: Charlton | Statement: [Heritage School, town, Charlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlton
Context triple: [Heritage School, town, Charlton]
  • A. Charlton
    Charlton is a small town in upstate New York known for its rural character and residential communities.
  • B. Charlton
    Charlton is a masculine given name of English origin, historically associated with places meaning "settlement of free men" and borne by various notable figures in sports, politics, and the arts.
  • C. Charlton
    Charlton is a district in southeast London known for its historic village center, riverside industrial heritage, and the football club Charlton Athletic.
  • D. Charlton chosen
    Charlton is a small settlement located within the borough of Spelthorne in Surrey, England.
  • E. Charltons
    Charltons is a small village in North Yorkshire, England, situated within the borough of Redcar and Cleveland.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b4e01081908f857f219d5d7a24 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.