Triple

T13576185
Position Surface form Disambiguated ID Type / Status
Subject Clan MacKay E324290 entity
Predicate district P2709 FINISHED
Object Sutherland E315219 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: [Clan MacKay, district, Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutherland
Context triple: [Clan MacKay, district, 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
    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. Sutherland chosen
    Sutherland is a sparsely populated historic county in the far north of mainland Scotland, known for its dramatic coastal scenery, mountains, and remote landscapes.
  • D. Sutherland
    Sutherland is a suburb in southern Sydney, New South Wales, serving as a key residential and commercial hub and a major transport interchange for the surrounding region.
  • E. Kelling
    Kelling is a small coastal village in Norfolk, England, known for its scenic heathland, wildlife, and proximity to the North Sea.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02b1f108190a12af382d1de70bb completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8bda0c81909afd4b9ef9605cd3 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:48 p.m.