Triple
T6201988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Pukaki |
E138654
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Twizel |
E578629
|
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: Twizel | Statement: [Lake Pukaki, near, Twizel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twizel Context triple: [Lake Pukaki, near, Twizel]
-
A.
Twizel
chosen
Twizel is a small town in New Zealand's Mackenzie District, known as a gateway to outdoor activities such as hiking, fishing, and stargazing in the surrounding alpine and lake landscapes.
-
B.
Greymouth
Greymouth is a coastal town on New Zealand’s West Coast known for its gold-mining history, rugged scenery, and role as a regional service and transport hub.
-
C.
Waimate
Waimate is a small rural town in the South Island of New Zealand, known for its agricultural economy, historic buildings, and proximity to scenic natural landscapes.
-
D.
Hāwera
Hāwera is a town in New Zealand known for its dairy industry and as a service and commercial hub in the South Taranaki District.
-
E.
Kaikōura
Kaikōura is a coastal New Zealand town renowned for its dramatic mountain-and-sea scenery and world-class marine wildlife encounters, especially whale watching.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062559bcc81908942bb4d25fe8158 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243da922c819080d8d37adbb5635e |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:20 p.m.