Triple

T19180165
Position Surface form Disambiguated ID Type / Status
Subject Minister for Environment, Food and Agriculture E469549 entity
Predicate locatedInTheAdministrativeTerritorialEntity P40 FINISHED
Object Douglas 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: Douglas | Statement: [Minister for Environment, Food and Agriculture, locatedInTheAdministrativeTerritorialEntity, Douglas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas
Context triple: [Minister for Environment, Food and Agriculture, locatedInTheAdministrativeTerritorialEntity, Douglas]
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Douglas
    Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • C. Douglas chosen
    Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
  • D. Douglas
    Douglas is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
  • E. Douglas
    Douglas is a surname of Scottish origin that has been borne by numerous notable individuals across politics, entertainment, and other fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61ae4108190b3715261cac2dd86 completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.