Triple

T15496702
Position Surface form Disambiguated ID Type / Status
Subject Sarah Sutherland E378835 entity
Predicate familyName P18 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: [Sarah Sutherland, familyName, Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutherland
Context triple: [Sarah Sutherland, familyName, 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. Sutherland
    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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3665769c8190be1af51a82a5e75f completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:52 a.m.