Triple

T645147
Position Surface form Disambiguated ID Type / Status
Subject Hayes, Kent, England E11224 entity
Predicate historicalCounty P1069 FINISHED
Object Kent E5977 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: Kent | Statement: [Hayes, Kent, England, historicalCounty, Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent
Context triple: [Hayes, Kent, England, historicalCounty, Kent]
  • A. Kent chosen
    Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
  • B. Yorkshire
    Yorkshire is a historic county in northern England known for its large size, distinctive cultural identity, and significant role in British political, industrial, and literary history.
  • C. Rutland
    Rutland is a small city in central Vermont known historically as a marble quarrying center and as a regional hub for commerce and outdoor recreation.
  • D. York
    York is a historic walled city in North Yorkshire, England, renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • E. York
    York is a historic former municipality in Ontario, Canada, that is now part of the modern city of Toronto.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b5825a08190a528cc2034f2892f completed March 2, 2026, 11:58 a.m.
Created at: March 1, 2026, 7:36 p.m.