Triple
T33384216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Kurī |
E854867
|
entity |
| Predicate | receivedCulturalRedress |
P129305
|
FINISHED |
| Object | Cape Reinga area |
—
|
NE NERFINISHED |
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: Cape Reinga area | Statement: [Ngāti Kurī, receivedCulturalRedress, Cape Reinga area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedCulturalRedress Context triple: [Ngāti Kurī, receivedCulturalRedress, Cape Reinga area]
-
A.
hasCulturalRedress
chosen
Indicates that some form of compensation, restitution, or corrective action has been undertaken to address past cultural harm, injustice, or loss.
-
B.
receivedRedress
Indicates that an entity has been given compensation, remedy, or corrective action in response to a prior harm, grievance, or injustice.
-
C.
reparationsType
Indicates the specific category or form of reparations involved in a reparative action or obligation between entities.
-
D.
reparationsPolicy
Indicates a policy or set of measures designed to provide compensation, restitution, or other forms of redress for past harms or injustices.
-
E.
hasCulturalReception
Indicates that an entity has been received, interpreted, or responded to within a particular cultural context or by a specific audience.
- F. None of above.
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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: May 1, 2026, 1:35 a.m.