Triple

T34717191
Position Surface form Disambiguated ID Type / Status
Subject Sanquhar E1000809 entity
Predicate hasHistoricCountry P138136 FINISHED
Object Scotland NE NERFINISHED

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: Scotland | Statement: [Sanquhar, hasHistoricCountry, Scotland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricCountry
Context triple: [Sanquhar, hasHistoricCountry, Scotland]
  • A. hasHistoricTerritory
    Indicates that an entity possesses or claims a territory that it historically occupied, controlled, or was associated with in the past.
  • B. hasFormerCountry
    Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
  • C. hasHistoricalCountrySubdivision
    Indicates that one entity was a territorial or administrative subdivision of a historical country.
  • D. hasHistoricalOrigin
    Indicates that something originated, was first established, or came into existence during a specific historical period or context.
  • E. historicallyAssociatedWithModernCountry chosen
    Indicates that an entity has a significant historical connection, influence, or origin related to a specified modern country.
  • 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_69f76dad3f108190a280fd0a2f4ee89a completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff246e0d4481908bcec718e1d4025b completed May 9, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69ff23cb70ac81909b776ace4597ae9c completed May 9, 2026, 12:08 p.m.
Created at: May 3, 2026, 3:59 p.m.