Triple
T4115391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Taupō |
E90277
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Turangi |
E290325
|
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: Turangi | Statement: [Lake Taupō, nearSettlement, Turangi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turangi Context triple: [Lake Taupō, nearSettlement, Turangi]
-
A.
Turangi
chosen
Turangi is a small town in New Zealand’s central North Island, known as a gateway to Tongariro National Park and popular for trout fishing and outdoor recreation.
-
B.
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."
-
C.
Rangea
Rangea is an extinct frond-shaped organism from the Ediacaran Period, known as one of the earliest complex multicellular life forms preserved in Precambrian fossil beds.
-
D.
Nausori
Nausori is a town in Fiji located near the capital Suva on the island of Viti Levu, known for its airport and role as a regional commercial center.
-
E.
Ngāti Ranginui
Ngāti Ranginui is a Māori iwi (tribe) of Aotearoa New Zealand traditionally based around Tauranga Moana in the Bay of Plenty region.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01f1e2e08190a6b73d7674c34e88 |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f22e2bc8190a99df0863cf6b2bf |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:41 p.m.