Triple

T1866419
Position Surface form Disambiguated ID Type / Status
Subject Sir Walter Scott E34931 entity
Predicate notableWork P4 FINISHED
Object Kenilworth E146701 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: Kenilworth | Statement: [Sir Walter Scott, notableWork, Kenilworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenilworth
Context triple: [Sir Walter Scott, notableWork, Kenilworth]
  • A. Warwick
    Warwick is a historic coastal city in Rhode Island known for its role in early American colonial history and as a major suburb of Providence.
  • B. Warwick chosen
    Warwick is a historic market town in the English Midlands, renowned for its medieval architecture and the prominent Warwick Castle.
  • C. Styal
    Styal is a village in Cheshire, England, known for its historic cotton mill and role in the early Industrial Revolution.
  • D. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • E. Jedburgh
    Jedburgh is a historic town in the Scottish Borders, known for its medieval abbey, ruined castle jail, and role as a former royal burgh near the English border.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b5978c81909390f2cbd716ccaf completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5163d88190a41df4c8f4e196f0 completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:34 p.m.