Triple
T20008651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surf Highway 45 |
E494528
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Ōpunake |
—
|
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: Ōpunake | Statement: [Surf Highway 45, passesThrough, Ōpunake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōpunake Context triple: [Surf Highway 45, passesThrough, Ōpunake]
-
A.
Ōpunake
Ōpunake is a small coastal town on the west coast of New Zealand’s North Island, known for its surf beach and views of Mount Taranaki.
-
B.
Okakarara
Okakarara is a small town in central Namibia known for its role in Herero history and as a local agricultural and trading center.
-
C.
Ōpunakē
chosen
Ōpunakē is a small coastal town in South Taranaki, New Zealand, known for its surf beaches, dairy farming hinterland, and strong Māori and rural community character.
-
D.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
E.
Ohoka
Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a7500481908b69f74e479f88c8 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.