Triple
T16538421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Te Kowhai Aerodrome |
E401754
|
entity |
| Predicate | servesSettlement |
P2741
|
FINISHED |
| Object | Te Kowhai |
E401754
|
NE FINISHED |
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 Kowhai | Statement: [Te Kowhai Aerodrome, servesSettlement, Te Kowhai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Te Kowhai Context triple: [Te Kowhai Aerodrome, servesSettlement, Te Kowhai]
-
A.
Te Kowhai
chosen
Te Kowhai is a small rural settlement in the Waikato region of New Zealand, located just northwest of Hamilton.
-
B.
Te Horo
Te Horo is a small rural settlement on New Zealand’s Kāpiti Coast, known for its farmland, lifestyle blocks, and proximity to both the coast and the Tararua Range.
-
C.
Mangawhai
Mangawhai is a coastal township in northern New Zealand known for its beaches, harbour, and popularity as a holiday and surfing destination.
-
D.
Te Kā
Te Kā is the fiery lava demon and corrupted form of the goddess Te Fiti who serves as the main antagonist in Disney's animated film "Moana."
-
E.
Maungawhau
Maungawhau is the Māori name for Mount Eden, a prominent volcanic cone and landmark in Auckland, New Zealand, with deep cultural significance to local Māori.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455a98b481909e489ea7bd01570a |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067aafee48190a0652fb4fac04a5b |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.