Triple

T5510927
Position Surface form Disambiguated ID Type / Status
Subject Ephraim Chambers E144561 entity
Predicate educatedIn P7336 FINISHED
Object Kendal E97268 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: Kendal | Statement: [Ephraim Chambers, educatedIn, Kendal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kendal
Context triple: [Ephraim Chambers, educatedIn, Kendal]
  • A. Kendal chosen
    Kendal is a historic market town in northwest England, known for its wool trade heritage, distinctive grey limestone buildings, and the mint cake associated with mountaineering.
  • B. Kendal Green
    Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • C. Biddulph
    Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
  • D. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • E. Ashbourne
    Ashbourne is a historic market town in Derbyshire, England, known for its traditional architecture and annual Royal Shrovetide Football match.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4cbc2c819091fcbff5f39ceeb4 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cbaca1c8190a7f6d4001f43749c completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:33 p.m.