Triple

T14717463
Position Surface form Disambiguated ID Type / Status
Subject Hawkesbury, Gloucestershire E345717 entity
Predicate hasSettlement P1068 FINISHED
Object Hawkesbury Upton E348834 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: Hawkesbury Upton | Statement: [Hawkesbury, Gloucestershire, hasSettlement, Hawkesbury Upton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawkesbury Upton
Context triple: [Hawkesbury, Gloucestershire, hasSettlement, Hawkesbury Upton]
  • A. Hawkesbury Upton chosen
    Hawkesbury Upton is a small rural village in South Gloucestershire, England, known for its traditional Cotswold stone buildings and annual literature festival.
  • B. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • C. Rushworth
    Rushworth is a small rural town in northern Victoria, Australia, known for its gold rush heritage and historic streetscape.
  • D. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • E. Bearbrook
    Bearbrook is a small river or stream running through the town of Aylesbury in Buckinghamshire, England.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98688f48190b2b19ce7aa06a6db completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0935f088190b54f2e106532972a completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.