Triple
T16390916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāruahine iwi |
E398047
|
entity |
| Predicate | hasMarae |
P37005
|
FINISHED |
| Object | Oeo Pā |
E1203186
|
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: Oeo Pā | Statement: [Ngāruahine iwi, hasMarae, Oeo Pā]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oeo Pā Context triple: [Ngāruahine iwi, hasMarae, Oeo Pā]
-
A.
Ōeo Pā
chosen
Ōeo Pā is a marae and traditional meeting place associated with Taranaki iwi on the west coast of New Zealand’s North Island.
-
B.
Puniho Pā
Puniho Pā is a traditional Māori marae and cultural meeting place associated with the Taranaki iwi on the west coast of New Zealand’s North Island.
-
C.
Puamau
Puamau is a small coastal village on the island of Hiva Oa in the Marquesas Islands of French Polynesia, known for its significant archaeological sites and traditional Polynesian culture.
-
D.
Ua Pou
Ua Pou is a volcanic island in the northern Marquesas Islands of French Polynesia, known for its dramatic basalt spires and traditional Polynesian culture.
-
E.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326425c8081908cacffcfa8c7386b |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357167b881909a5182537ef973ce |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.