Triple

T14736030
Position Surface form Disambiguated ID Type / Status
Subject River Ancholme E346209 entity
Predicate passesNear P416 FINISHED
Object Barnetby E428094 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: Barnetby | Statement: [River Ancholme, passesNear, Barnetby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnetby
Context triple: [River Ancholme, passesNear, Barnetby]
  • A. Barnetby chosen
    Barnetby is a village and railway junction in North Lincolnshire, England, known for its busy rail connections on routes across northern and eastern England.
  • B. Barnby
    Barnby is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • C. Barrowby
    Barrowby is a village in Lincolnshire, England, known for its rural character and proximity to the market town of Grantham.
  • D. Navenby
    Navenby is a historic village and civil parish in Lincolnshire, England, known for its traditional architecture and rural character.
  • E. Bredenbury
    Bredenbury is a small rural village and civil parish in Herefordshire, England, known for its countryside setting near the market town of Bromyard.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.