Triple

T8934578
Position Surface form Disambiguated ID Type / Status
Subject Middlesex Parish E212743 entity
Predicate namedAfter P63 FINISHED
Object Middlesex (English county) E14852 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 (English county) | Statement: [Middlesex Parish, namedAfter, Middlesex (English county)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex (English county)
Context triple: [Middlesex Parish, namedAfter, Middlesex (English county)]
  • A. Middlesex, England chosen
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • B. Middlesex and Buckinghamshire
    Middlesex and Buckinghamshire are historic English counties that once bordered each other to the west and northwest of London.
  • C. Middlesex
    Middlesex is a small town located in Yates County in the Finger Lakes region of New York State.
  • D. Middlesex
    Middlesex is a census division in southwestern Ontario, Canada, that includes the city of London and surrounding rural municipalities.
  • E. Middlesex and Worcester district
    The Middlesex and Worcester district is a Massachusetts State Senate district that encompasses a group of communities in parts of Middlesex and Worcester counties.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc669138b48190a6bb4968f029a69e completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1ddac548190bf520321dd35de1c completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.