Triple
T18934437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaitaia |
E463204
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Awanui |
—
|
NE NERFINISHED |
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: Awanui | Statement: [Kaitaia, locatedNear, Awanui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awanui Context triple: [Kaitaia, locatedNear, Awanui]
-
A.
Awanui
chosen
Awanui is a small rural settlement in New Zealand’s Far North District, serving as a local service hub near the northern tip of the North Island.
-
B.
Nanaue
Nanaue is the humanoid shark supervillain and occasional antihero known as King Shark in DC Comics.
-
C.
Ōwairaka
Ōwairaka is a volcanic cone and culturally significant landmark in Tāmaki Makaurau / Auckland, revered in Māori tradition and history.
-
D.
Kanahooka
Kanahooka is a suburb in the Wollongong region of New South Wales, Australia, situated near Lake Illawarra and known for its residential character and lakeside environment.
-
E.
Orawa
Orawa is a historical and ethnographic region in southern Poland known for its distinctive highland culture, folklore, and traditional wooden architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.