Triple

T18727122
Position Surface form Disambiguated ID Type / Status
Subject Narborough railway station E457928 entity
Predicate serves P98 FINISHED
Object Narborough 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: Narborough | Statement: [Narborough railway station, serves, Narborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narborough
Context triple: [Narborough railway station, serves, Narborough]
  • A. Narborough
    Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
  • B. Narborough chosen
    Narborough is a village in Leicestershire, England, known as a suburban commuter settlement near Leicester with historical roots and local amenities.
  • C. Woodnesborough
    Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • D. Crowborough
    Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
  • E. Rainsborough
    Rainsborough is an English surname historically associated with notable figures in politics and the military.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d74bd9881908cd314e68327c402 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.