Triple
T4125518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tauranga Airport |
E92714
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Tauranga |
E94686
|
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: Tauranga | Statement: [Tauranga Airport, serves, Tauranga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tauranga Context triple: [Tauranga Airport, serves, Tauranga]
-
A.
Tauranga
chosen
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.
-
B.
Timaru
Timaru is a coastal port town and service center on the east coast of New Zealand’s South Island.
-
C.
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.
-
D.
Gisborne
Gisborne is a coastal city on the northeastern tip of New Zealand’s North Island, known for its wineries, surf beaches, and being one of the first places in the world to see the sunrise.
-
E.
Whangārei
Whangārei is a coastal city in northern New Zealand known as the main urban center of the Northland Region, featuring a busy harbor, waterfalls, and access to scenic beaches.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020a015081909015e6837c4b4a73 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59608650c81908ebc47bbbbfaf6be |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:41 p.m.