Triple

T1897209
Position Surface form Disambiguated ID Type / Status
Subject River Kennet E37609 entity
Predicate passesThrough P225 FINISHED
Object Newbury E49282 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: Newbury | Statement: [River Kennet, passesThrough, Newbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newbury
Context triple: [River Kennet, passesThrough, Newbury]
  • A. Newbury, Berkshire chosen
    Newbury, Berkshire is a historic market town in southern England known for its racecourse, proximity to Highclere Castle, and role as a commercial and administrative center in West Berkshire.
  • B. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • C. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • D. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • E. Northampton
    Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16f416c8190a49b24523b3a7f85 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ced4708190ba3d5131039691e8 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.