Triple

T12880929
Position Surface form Disambiguated ID Type / Status
Subject Yarrow Valley E308090 entity
Predicate hasSettlement P1068 FINISHED
Object Yarrowford E685967 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: Yarrowford | Statement: [Yarrow Valley, hasSettlement, Yarrowford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yarrowford
Context triple: [Yarrow Valley, hasSettlement, Yarrowford]
  • A. Yarrowford chosen
    Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
  • B. Sharneyford
    Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
  • C. Belchford
    Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
  • D. Shillingford
    Shillingford is a small village in South Oxfordshire, England, known for its rural setting near the River Thames and proximity to the town of Benson.
  • E. Yelford
    Yelford is a small rural settlement in Oxfordshire, England, known for its historic manor house and traditional village character.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55393a88190a88c9357a6db5aec completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:39 p.m.