Triple

T15411365
Position Surface form Disambiguated ID Type / Status
Subject Benacre E368599 entity
Predicate adjacentParish P22613 FINISHED
Object Wrentham NE NERFINISHED

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: Wrentham | Statement: [Benacre, adjacentParish, Wrentham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wrentham
Context triple: [Benacre, adjacentParish, Wrentham]
  • A. Wrentham chosen
    Wrentham is a small rural village in Suffolk, England, known for its traditional English countryside character and historic buildings.
  • B. Wrentham, Massachusetts
    Wrentham, Massachusetts is a small New England town known for its historic character and popular outlet shopping, located in southeastern Massachusetts.
  • C. Tyringham
    Tyringham is a small historic village and civil parish in Buckinghamshire, England, known for its rural setting and notable country house, Tyringham Hall.
  • D. Tyringham
    Tyringham is a small rural town in western Massachusetts known for its scenic landscapes and historic New England character.
  • E. Scituate
    Scituate is a rural town in central Rhode Island known for its reservoirs, woodlands, and historic New England character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
Created at: April 10, 2026, 3:20 a.m.