Triple
T18307827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waipā River |
E438534
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Te Awamutu |
—
|
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: Te Awamutu | Statement: [Waipā River, hasNearbySettlement, Te Awamutu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Te Awamutu Context triple: [Waipā River, hasNearbySettlement, Te Awamutu]
-
A.
Te Awamutu
chosen
Te Awamutu is a rural service town in New Zealand known for its dairy farming hinterland and location south of Hamilton on the North Island.
-
B.
Otahuhu
Otahuhu is a suburb of Auckland, New Zealand, known for its strong Pacific Islander presence and vibrant Tongan community.
-
C.
Opotiki
Ōpōtiki is a small coastal town in New Zealand’s North Island known as a gateway to the East Coast and for its strong Māori cultural heritage and outdoor recreation.
-
D.
Palmerston North
Palmerston North is a major inland city in New Zealand known for its role as an educational and logistical hub, particularly home to Massey University.
-
E.
Tauranga
Tauranga is a major coastal city and port in the Bay of Plenty region of New Zealand, known for its beaches, harbor, and growing economic and tourism sectors.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50215e0c48190a4679d432b6ee596 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.