Triple

T1327124
Position Surface form Disambiguated ID Type / Status
Subject Lanarkshire E28353 entity
Predicate hasHistoricRegistrationCountyStatus P27241 FINISHED
Object true 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: true | Statement: [Lanarkshire, hasHistoricRegistrationCountyStatus, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricRegistrationCountyStatus
Context triple: [Lanarkshire, hasHistoricRegistrationCountyStatus, true]
  • A. hasHistoricCountyStatusSince
    Indicates that an entity has held the legal or recognized status of a historic county starting from a specified point in time.
  • B. historicalCounty
    Indicates that an entity was located within or associated with a county as it existed in the past, even if that county’s boundaries or administrative status have since changed.
  • C. hasHistoricCountySeat
    Indicates that an administrative region historically had its county government or main county offices located in a particular settlement or city.
  • D. hasCivilParishStatus
    Indicates that an entity holds the official administrative status or designation of a civil parish.
  • E. hasCeremonialCountyStatus
    Indicates that an entity is officially recognized as having the legal or traditional status of a ceremonial county.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c0a22881909eff0fc6c91a5f41 completed March 1, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69a4beef6a188190996f8775bdda8f6c completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c0b1326081909aa6beec0cfe8d6c completed March 1, 2026, 10:41 p.m.
Created at: March 1, 2026, 7:55 p.m.