Triple
T36565425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Raukawa |
E901961
|
entity |
| Predicate | hasTaonga |
P187094
|
FINISHED |
| Object | te reo Māori |
—
|
LITERAL 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 reo Māori | Statement: [Ngāti Raukawa, hasTaonga, te reo Māori]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaonga Context triple: [Ngāti Raukawa, hasTaonga, te reo Māori]
-
A.
hasWharenui
Indicates a relationship where an entity possesses or is associated with a wharenui (a Māori meeting house).
-
B.
hasMarae
Indicates a relationship where an entity possesses, contains, or is associated with a marae (a Māori meeting place or communal space).
-
C.
hasTamga
Indicates that an entity bears or is marked with a specific tamga (a distinctive emblem, brand, or clan/ownership mark).
-
D.
hasHapū
Indicates a relationship where an iwi (tribe) possesses, is composed of, or is associated with one or more hapū (sub-tribes).
-
E.
hasTali
Indicates that an entity possesses or is equipped with a tali (such as a strap, cord, or similar attachment).
- F. None of above. chosen
Provenance (4 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:11 p.m.