Triple

T17205142
Position Surface form Disambiguated ID Type / Status
Subject Neasden E417579 entity
Predicate administrativeCountyPre1965 P26580 FINISHED
Object Middlesex E258941 NE FINISHED

How this triple was built (3 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: [Neasden, administrativeCountyPre1965, Middlesex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex
Context triple: [Neasden, administrativeCountyPre1965, Middlesex]
  • A. Middlesex
    Middlesex is a small town located in Yates County in the Finger Lakes region of New York State.
  • B. Middlesex
    Middlesex is a census division in southwestern Ontario, Canada, that includes the city of London and surrounding rural municipalities.
  • C. Middlesex
    Middlesex is a small village located in the Stann Creek District of Belize.
  • D. Middlesex
    Middlesex is a small rural town in Washington County, central Vermont, known for its scenic landscape and proximity to the state capital, Montpelier.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeCountyPre1965
Context triple: [Neasden, administrativeCountyPre1965, Middlesex]
  • A. formerAdministrativeCountyIncludes chosen
    Indicates that a geographic area was once part of, or contained within, the boundaries of a former administrative county.
  • B. formerAdministrativeTerritory
    Indicates that one entity was previously an official administrative territory of another entity but no longer holds that status.
  • C. governingSubdivision
    Indicates that one administrative or political unit serves as the governing authority over a smaller, subordinate territorial subdivision.
  • D. locatedInFormerAdministrativeTerritory
    Indicates that an entity is situated within the boundaries of an administrative territory that no longer exists or has been reorganized.
  • E. hasModernAdministrativeCounty
    Indicates that an entity is located within or associated with a specific modern administrative county as defined by current governmental boundaries.
  • F. None of above.

Provenance (4 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc0bea8819090946615a14b2d86 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fde8ba08190ae88dc9ea3366a68 completed May 11, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69e3831e354881908c5505ffd15c84e9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:38 a.m.