Triple
T4526133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northland Region |
E106182
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Opononi
Opononi is a small coastal settlement in New Zealand known for its scenic Hokianga Harbour views and historic seaside charm.
|
E451637
|
NE FINISHED |
How this triple was built (4 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: Opononi | Statement: [Northland Region, contains, Opononi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opononi Context triple: [Northland Region, contains, Opononi]
-
A.
Taupiri
Taupiri is a small township in the Waikato region of New Zealand, known for its proximity to the Waikato River and the sacred Taupiri Mountain.
-
B.
Onehunga
Onehunga is a suburb of Auckland, New Zealand, known for its diverse multicultural community and strong Pacific Island, particularly Tongan, presence.
-
C.
Aokautere
Aokautere is a residential suburb located on the outskirts of Palmerston North in the Manawatū region of New Zealand.
-
D.
Otaki
Ōtaki is a small coastal town on New Zealand’s Kāpiti Coast, known for its Māori cultural heritage, beaches, and proximity to outdoor recreation in the surrounding ranges.
-
E.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Opononi Triple: [Northland Region, contains, Opononi]
Generated description
Opononi is a small coastal settlement in New Zealand known for its scenic Hokianga Harbour views and historic seaside charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opononi Target entity description: Opononi is a small coastal settlement in New Zealand known for its scenic Hokianga Harbour views and historic seaside charm.
-
A.
Taupiri
Taupiri is a small township in the Waikato region of New Zealand, known for its proximity to the Waikato River and the sacred Taupiri Mountain.
-
B.
Onehunga
Onehunga is a suburb of Auckland, New Zealand, known for its diverse multicultural community and strong Pacific Island, particularly Tongan, presence.
-
C.
Aokautere
Aokautere is a residential suburb located on the outskirts of Palmerston North in the Manawatū region of New Zealand.
-
D.
Otaki
Ōtaki is a small coastal town on New Zealand’s Kāpiti Coast, known for its Māori cultural heritage, beaches, and proximity to outdoor recreation in the surrounding ranges.
-
E.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
- F. None of above. chosen
Provenance (5 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57760f4481908f69ce82be63d7f8 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb9130b3c8190b511fa8a6ac0549b |
completed | March 20, 2026, 9:16 p.m. |
| NEDg | Description generation | batch_69bdbe9f0fec8190aa42177fcd1b0f51 |
completed | March 20, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdbf59f97c8190a7669e6459c42f16 |
completed | March 20, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:03 p.m.