Triple

T13091693
Position Surface form Disambiguated ID Type / Status
Subject Bletchley E310476 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Water Eaton E207190 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: Water Eaton | Statement: [Bletchley, hasNeighbourhood, Water Eaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Water Eaton
Context triple: [Bletchley, hasNeighbourhood, Water Eaton]
  • A. Water Eaton chosen
    Water Eaton is a small settlement in Oxfordshire, England, situated just south of Kidlington near Oxford.
  • B. Southwater
    Southwater is a large village and civil parish in West Sussex, England, situated just south of the town of Horsham.
  • C. Langwater Pond
    Langwater Pond is a small freshwater pond located in the town of Easton in southeastern Massachusetts, known locally for its scenic and recreational value.
  • D. River Isbourne
    River Isbourne is a small river in Gloucestershire, England, flowing through the Cotswolds and the town of Winchcombe before joining the River Avon.
  • E. The Reservoir
    The Reservoir is a large man-made lake in Central Park, New York City, popular for its scenic running track and iconic skyline views.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61629ac8190a2dfa11951a877f0 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.