Triple

T4679875
Position Surface form Disambiguated ID Type / Status
Subject Barnsbury E103772 entity
Predicate historicalCounty P1069 FINISHED
Object Middlesex E258941 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: Middlesex | Statement: [Barnsbury, historicalCounty, Middlesex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex
Context triple: [Barnsbury, historicalCounty, Middlesex]
  • A. County of Middlesex chosen
    The County of Middlesex is a historic county in southeast England that once encompassed much of what is now Greater London and surrounding areas.
  • B. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • C. Middlesex Parish
    Middlesex Parish was the former ecclesiastical parish name for the area that later became the town of Darien, Connecticut.
  • D. Essex
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • E. Rocester
    Rocester is a village in Staffordshire, England, known for its rural setting near the River Dove and its historical roots dating back to Roman times.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636c105081908655ab384f539f38 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a8b7a88190bfc4f68438694995 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.