Triple

T12909785
Position Surface form Disambiguated ID Type / Status
Subject Neilston E308823 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Uplawmoor E989541 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: Uplawmoor | Statement: [Neilston, hasNeighbouringSettlement, Uplawmoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uplawmoor
Context triple: [Neilston, hasNeighbouringSettlement, Uplawmoor]
  • A. Uplawmoor chosen
    Uplawmoor is a small rural village in Scotland known for its scenic countryside setting and close-knit community.
  • B. Wainhill
    Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
  • C. Nortmoor
    Nortmoor is a small municipality in the Leer district of Lower Saxony, Germany.
  • D. Bleamoss
    Bleamoss is a moorland area in the English Lake District, known for its boggy terrain and proximity to the Langdale valley.
  • E. Birkenshaw
    Birkenshaw is a village in West Yorkshire, England, situated near Bradford and known for its residential character and local amenities.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5680d748190b8453793219bda8f completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.