Triple

T3962449
Position Surface form Disambiguated ID Type / Status
Subject Middle Saxons E85935 entity
Predicate successorTerritory P7797 FINISHED
Object County of 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: County of Middlesex | Statement: [Middle Saxons, successorTerritory, County of Middlesex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Middlesex
Context triple: [Middle Saxons, successorTerritory, County of 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 County
    Middlesex County is a populous county in central New Jersey known for its diverse suburban communities, major transportation hubs, and proximity to New York City.
  • C. Middlesex County
    Middlesex County is a regional municipality in southwestern Ontario, Canada, that encompasses the city of London and several surrounding communities.
  • D. Middlesex County
    Middlesex County is a populous county in eastern Massachusetts that includes major cities and suburbs of the Greater Boston area.
  • E. Essex County
    Essex County is a historic coastal county in northeastern Massachusetts that includes cities such as Lynn, Salem, and Lawrence.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef971e5608190a66361484a6f52dc completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57688f8cc819088a61aba386deb1e completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:31 p.m.