Triple

T14726338
Position Surface form Disambiguated ID Type / Status
Subject Stonehouse E345953 entity
Predicate near P350 FINISHED
Object Stroud E72661 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: Stroud | Statement: [Stonehouse, near, Stroud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stroud
Context triple: [Stonehouse, near, Stroud]
  • A. Stroud chosen
    Stroud is a market town and parliamentary constituency in Gloucestershire, England, known historically for its role in the Industrial Revolution and its association with progressive politics.
  • B. Stroud
    Stroud is a small community within the town of Innisfil in Ontario, Canada, known for its residential character and proximity to Lake Simcoe.
  • C. Stroud
    Stroud is a small rural town in the Hunter Region of New South Wales, Australia, known for its historic buildings and colonial heritage.
  • D. Frampton-on-Severn
    Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
  • E. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26013c8819090512f8b4df9cc87 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b43360481908dc73d5e6758fea6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:29 a.m.