Triple

T6119147
Position Surface form Disambiguated ID Type / Status
Subject Blackwater E136436 entity
Predicate adjacentTo P224 FINISHED
Object Yateley E171670 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: Yateley | Statement: [Blackwater, adjacentTo, Yateley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yateley
Context triple: [Blackwater, adjacentTo, Yateley]
  • A. Yateley chosen
    Yateley is a small town in northeast Hampshire, England, known for its residential character, local schools, and nearby lakes and heathland.
  • B. Hartley Wintney
    Hartley Wintney is a historic rural village in Hampshire, England, known for its traditional village green, cricket heritage, and period architecture.
  • C. Grateley
    Grateley is a small village in Hampshire, England, known for its rural setting and railway station on the line between London and Salisbury.
  • D. Orsett
    Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
  • E. Selsey
    Selsey is a coastal town in West Sussex, England, historically notable as the original seat of the Anglo-Saxon bishops of the Kingdom of Sussex before the see moved to Chichester.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bee12488190ab217e8956f2f1f3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141619c148190b0fb94e2b1458510 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:14 p.m.