Triple

T22672130
Position Surface form Disambiguated ID Type / Status
Subject Creswell railway station E560244 entity
Predicate nearbySettlement P350 FINISHED
Object Elmton 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: Elmton | Statement: [Creswell railway station, nearbySettlement, Elmton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmton
Context triple: [Creswell railway station, nearbySettlement, Elmton]
  • A. Elmton chosen
    Elmton is a small village in Derbyshire, England, known for its rural character and historic association with nearby Creswell.
  • B. Elmswell
    Elmswell is a village and civil parish in the county of Suffolk in eastern England.
  • C. Earlton
    Earlton is a small rural community in northeastern Ontario, Canada, known for its agricultural surroundings and proximity to the city of Temiskaming Shores.
  • D. Monkton
    Monkton is a small village in South Ayrshire, Scotland, situated near Prestwick and close to the west coast.
  • E. Isleham
    Isleham is a rural village and civil parish in Cambridgeshire, England, known for its historic churches and fenland landscape.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.