Triple

T22826592
Position Surface form Disambiguated ID Type / Status
Subject Corbridge railway station E565676 entity
Predicate serves P98 FINISHED
Object Corbridge 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: Corbridge | Statement: [Corbridge railway station, serves, Corbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corbridge
Context triple: [Corbridge railway station, serves, Corbridge]
  • A. Corbridge chosen
    Corbridge is a historic village in Northumberland, England, known for its Roman heritage and picturesque setting on the banks of the River Tyne.
  • B. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • C. Buntingford
    Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
  • D. Curbridge
    Curbridge is a small rural village in Oxfordshire, England, situated within the district of West Oxfordshire.
  • E. Curbridge
    Curbridge is a small village in Hampshire, England, situated near the River Hamble and known for its rural character and riverside setting.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2832b8819091c1dfd2cd598b90 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.