Triple

T12791962
Position Surface form Disambiguated ID Type / Status
Subject Southern African Large Telescope E305787 entity
Predicate location P40 FINISHED
Object Sutherland E56855 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: [Southern African Large Telescope, location, Sutherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutherland
Context triple: [Southern African Large Telescope, location, Sutherland]
  • A. Sutherland chosen
    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
    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. Sutton
    Sutton is a village and civil parish located in the county of Suffolk in eastern 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6b55248190ab938e69eb263612 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebeab2081908a6e38351613e3ed completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:30 p.m.