Triple

T2845259
Position Surface form Disambiguated ID Type / Status
Subject A9 road E62567 entity
Predicate traversesRegion P285 FINISHED
Object Sutherland E142857 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: Sutherland | Statement: [A9 road, traversesRegion, Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutherland
Context triple: [A9 road, traversesRegion, Sutherland]
  • A. Sutherland
    Sutherland is a small town in the Northern Cape province of South Africa, best known for its exceptionally clear night skies and major astronomical observatories.
  • B. Sutherland chosen
    Sutherland is a Scottish surname historically associated with the Sutherland region in the Highlands and borne by various notable figures in politics, law, and the arts.
  • C. Sutton
    Sutton is a large suburban town in South London, England, known as the principal settlement of the London Borough of Sutton.
  • D. Sutton
    Sutton is a common English surname borne by numerous notable individuals across various fields.
  • E. Sutton
    Sutton is a small rural village located within the district of West Oxfordshire in England.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d850b481909850ff5e89021824 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.