Triple

T11192594
Position Surface form Disambiguated ID Type / Status
Subject Durack E264837 entity
Predicate includesTown P847 FINISHED
Object Wyndham E266864 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: Wyndham | Statement: [Durack, includesTown, Wyndham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyndham
Context triple: [Durack, includesTown, Wyndham]
  • A. Wyndham chosen
    Wyndham is a small, remote town in Western Australia's far north, known as one of the state's northernmost settlements and a gateway to the Kimberley region.
  • B. Wyndham
    Wyndham is the middle name of William Wyndham Grenville, a British statesman who served as Prime Minister of the United Kingdom in the early 19th century.
  • C. Wyndham
    Wyndham is a small rural town in Southland, New Zealand, known for its agricultural community and location near the Mataura River.
  • D. Fairmont
    Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
  • E. Sanford Arms
    Sanford Arms is a short-lived 1970s American sitcom spun off from Sanford and Son, centered on a Los Angeles rooming house and featuring returning characters like Aunt Esther Anderson.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483ec6ca8819082713a278c987756 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.