Triple

T12290855
Position Surface form Disambiguated ID Type / Status
Subject River Teith E292954 entity
Predicate nearbySettlement P350 FINISHED
Object Doune E177817 NE 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: Doune | Statement: [River Teith, nearbySettlement, Doune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doune
Context triple: [River Teith, nearbySettlement, Doune]
  • A. Doune chosen
    Doune is a historic village in central Scotland, noted for its medieval Doune Castle and its location near the River Teith.
  • B. Doune Castle
    Doune Castle is a medieval stronghold in central Scotland, famed for its well-preserved architecture and frequent use as a filming location in productions such as Monty Python and the Holy Grail, Outlander, and Game of Thrones.
  • C. Culleredo
    Culleredo is a municipality in the autonomous community of Galicia in northwestern Spain, situated near the city of A Coruña.
  • D. Dunnichen
    Dunnichen is a small rural village in eastern Scotland, historically noted as a possible site of the Battle of Dunnichen (Nechtansmere) in 685 AD.
  • E. Dryburgh
    Dryburgh is a village in the Scottish Borders best known as the picturesque riverside setting of the medieval Dryburgh Abbey and the burial place of Sir Walter Scott.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d22ba488190914342fa7e69e159 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e752f3c8190ba0e273f3e41a321 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.