Triple

T15714705
Position Surface form Disambiguated ID Type / Status
Subject City and County of Cardiff E380930 entity
Predicate isCountyBorough P119891 FINISHED
Object no LITERAL 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: no | Statement: [City and County of Cardiff, isCountyBorough, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCountyBorough
Context triple: [City and County of Cardiff, isCountyBorough, no]
  • A. isMetropolitanBorough
    Indicates that an entity functions as a metropolitan borough, i.e., a local government district within a large urban area that has borough status.
  • B. containsMetropolitanBorough
    Indicates that an administrative area includes within its boundaries one or more metropolitan boroughs as subordinate units.
  • C. hasMetropolitanBoroughStatus
    Indicates that an administrative area holds the legal and governmental status of a metropolitan borough.
  • D. hasBoroughCouncil
    Indicates that an administrative area is governed or overseen by a specific borough council.
  • E. boroughOf
    Indicates that one place is a borough that is administratively or geographically part of another, typically larger, municipal entity.
  • F. None of above. chosen

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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69e00526759c819088b80d85138b8974 completed April 15, 2026, 9:37 p.m.
PDg Predicate description generation batch_69e0094af5b481908ad51d5d7ba0c726 completed April 15, 2026, 9:55 p.m.
Created at: April 10, 2026, 4:45 a.m.