Triple

T14133477
Position Surface form Disambiguated ID Type / Status
Subject Yate E350226 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Alveston E345933 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: Alveston | Statement: [Yate, hasNeighbouringSettlement, Alveston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alveston
Context triple: [Yate, hasNeighbouringSettlement, Alveston]
  • A. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • B. Nether Wallop
    Nether Wallop is a small historic village in Hampshire, England, known for its picturesque rural character and traditional thatched cottages.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Morriston
    Morriston is a suburban area and community within Swansea, Wales, known historically for its industrial heritage and as a significant residential and commercial district of the city.
  • E. Olveston chosen
    Olveston is a rural village and civil parish in South Gloucestershire, England, known for its historic buildings and countryside setting near Bristol.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610cece88190b4a86500677e5938 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1288b48190a382732fac13aaf7 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 11:34 p.m.