Triple

T7135804
Position Surface form Disambiguated ID Type / Status
Subject Tarka Line E166302 entity
Predicate passesThrough P225 FINISHED
Object Crediton E528833 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: Crediton | Statement: [Tarka Line, passesThrough, Crediton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crediton
Context triple: [Tarka Line, passesThrough, Crediton]
  • A. Crediton chosen
    Crediton is a historic market town in Devon, England, known as the birthplace of St. Boniface and for its medieval church and long-standing ecclesiastical significance.
  • B. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • C. Bettany
    Bettany is an English surname most notably associated with actor Paul Bettany.
  • D. Corvey
    Corvey is a historic former Benedictine abbey complex on the Weser River in Höxter, Germany, renowned for its Carolingian architecture and cultural significance.
  • E. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6926d748190bc8c150fc1860531 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad90bdd881908430ee9f7aa4f9ac completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:45 p.m.