Triple

T5216708
Position Surface form Disambiguated ID Type / Status
Subject Gloucester (UK Parliament constituency) E117768 entity
Predicate countyLabel P12149 FINISHED
Object County 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: County | Statement: [Gloucester (UK Parliament constituency), countyLabel, County]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countyLabel
Context triple: [Gloucester (UK Parliament constituency), countyLabel, County]
  • A. countyType
    Indicates the classification or category of a county within an administrative or governmental system.
  • B. countyName chosen
    Indicates the specific name assigned to a county in which an entity is located or with which it is associated.
  • C. countyRegion
    Indicates that a county is located within, or is administratively part of, a larger geographic region.
  • D. countyEquivalent
    Indicates that two territorial or administrative units are considered equivalent in status or function to a county within a given governmental or geographic framework.
  • E. district
    Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
  • F. None of above.

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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a95abdc8190b0babd79cea1360e completed March 20, 2026, 4:49 p.m.
PD Predicate disambiguation batch_69bd77bb4e8c819094b5ac7cf61512f9 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:48 p.m.