Triple
T11626100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kununurra |
E276273
|
entity |
| Predicate | near |
P350
|
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: [Kununurra, near, Wyndham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyndham Context triple: [Kununurra, near, Wyndham]
-
A.
Wyndham
Wyndham is a small rural town in Southland, New Zealand, known for its agricultural community and location near the Mataura River.
-
B.
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.
-
C.
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.
-
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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87845d588190bfa4197e7ab600a7 |
completed | April 26, 2026, 9:45 p.m. |
Created at: April 8, 2026, 9:39 p.m.