Triple
T18563263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruakākā |
E453698
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Waipu |
—
|
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: Waipu | Statement: [Ruakākā, near, Waipu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waipu Context triple: [Ruakākā, near, Waipu]
-
A.
Waipu
chosen
Waipu is a coastal settlement in Northland, New Zealand, known for its sandy beaches and important wildlife habitats.
-
B.
Mauao
Mauao is a prominent extinct volcanic cone and sacred Māori landmark that dominates the coastal landscape at the entrance to Tauranga Harbour in New Zealand.
-
C.
Pitoa
Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
-
D.
Waikāne
Waikāne is a rural community on the windward side of Oʻahu, Hawaiʻi, known for its lush valleys, taro farming, and scenic views of the Koʻolau mountain range.
-
E.
Kawhia
Kawhia is a coastal settlement and harbour on the west coast of New Zealand’s North Island, historically significant as a Māori stronghold and ancestral home of several iwi.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afc57448190abd90167d7e12a18 |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:42 a.m.