Triple
T716843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Island |
E14332
|
entity |
| Predicate | hasCulturalCenter |
P2412
|
FINISHED |
| Object | Rotorua |
E99832
|
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: Rotorua | Statement: [North Island, hasCulturalCenter, Rotorua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rotorua Context triple: [North Island, hasCulturalCenter, Rotorua]
-
A.
Rotorua
chosen
Rotorua is a New Zealand city famed for its geothermal activity, Māori culture, and scenic lakes, located in the central part of the North Island.
-
B.
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.
-
C.
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.
-
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.
Waimate, New Zealand
Waimate, New Zealand is a small rural town in South Canterbury known for its agricultural economy, historic buildings, and proximity to scenic natural landscapes.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a57649dc8190bfdee2f9c0c90415 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c005750881909187edfa8e8fa02c |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:37 p.m.