Triple
T18854193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawakawa |
E461126
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Paihia |
—
|
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: Paihia | Statement: [Kawakawa, near, Paihia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paihia Context triple: [Kawakawa, near, Paihia]
-
A.
Paihia
chosen
Paihia is a popular coastal town in New Zealand’s Bay of Islands, known as a gateway to the historic Waitangi Treaty Grounds and for its scenic beaches and marine activities.
-
B.
Palaihnihan
Palaihnihan is a small Native American language family of northern California, traditionally including the closely related Achumawi and Atsugewi languages.
-
C.
Pai
Pai is the given name of Peng Pai, a prominent early 20th-century Chinese revolutionary and pioneer of the peasant movement.
-
D.
Paakantyi
Paakantyi are an Aboriginal Australian people traditionally associated with the Darling River region of western New South Wales.
-
E.
Pinnau
The Pinnau is a river in northern Germany that flows through the district of Pinneberg in the state of Schleswig-Holstein before emptying into the Elbe.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05b4d8881909af0238f451b0e31 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.