Triple

T12536913
Position Surface form Disambiguated ID Type / Status
Subject Trimley St Mary E299714 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Kirton E299715 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: Kirton | Statement: [Trimley St Mary, hasNeighbouringSettlement, Kirton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirton
Context triple: [Trimley St Mary, hasNeighbouringSettlement, Kirton]
  • A. Kirton chosen
    Kirton is a village and civil parish located in the county of Suffolk in eastern England.
  • B. Kitson
    Kitson is an English-origin surname borne by various notable figures, including artists, politicians, and athletes.
  • C. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • D. Kinsley
    Kinsley is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • E. Cinkota
    Cinkota is a suburban neighborhood in the 16th district of Budapest, known for its residential character and village-like atmosphere on the city’s eastern outskirts.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546ebf508190ae54857e4289c6e4 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557a95d48190ac588807544f060f completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.