Triple

T5076266
Position Surface form Disambiguated ID Type / Status
Subject Breich Water E114403 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Stoneyburn E172858 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: Stoneyburn | Statement: [Breich Water, hasNearbySettlement, Stoneyburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stoneyburn
Context triple: [Breich Water, hasNearbySettlement, Stoneyburn]
  • A. Stoneyburn chosen
    Stoneyburn is a small village in West Lothian, Scotland, known historically for its coal mining roots and close-knit community.
  • B. Weaver Vale
    Weaver Vale is a UK parliamentary constituency in Cheshire that elects a Member of Parliament to the House of Commons.
  • C. Redbourn
    Redbourn is a historic village and civil parish in Hertfordshire, England, situated near St Albans and known for its traditional English countryside character.
  • D. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • E. Ravenhill
    Ravenhill is a residential district within the City and County of Swansea in Wales, known for its local community amenities and suburban 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d3b0088190a658864cb120eef4 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb121fa388190ab3909d20f014b6f completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.