Triple
T19792314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māngere |
E475444
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Ōtāhuhu |
—
|
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: Ōtāhuhu | Statement: [Māngere, hasNeighbour, Ōtāhuhu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōtāhuhu Context triple: [Māngere, hasNeighbour, Ōtāhuhu]
-
A.
Otahuhu
chosen
Otahuhu is a suburb of Auckland, New Zealand, known for its strong Pacific Islander presence and vibrant Tongan community.
-
B.
Wanganui
Wanganui is a city and surrounding region on New Zealand’s North Island, known for the Whanganui River and its strong rugby culture.
-
C.
Wanganui
Wanganui is a rural locality within the Byron Shire region of New South Wales, Australia.
-
D.
Temuka
Temuka is a small town in South Canterbury, New Zealand, known for its rural character and proximity to major rivers and agricultural areas.
-
E.
Ōhinemutu
Ōhinemutu is a historic lakeside Māori village and geothermal settlement on the shores of Lake Rotorua in New Zealand, renowned as a cultural heartland of the Te Arawa people.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c37a3c819080f195d58adaaa7b |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.