Triple
T2379234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ka Mate |
E46271
|
entity |
| Predicate | rightsHolderRecognition |
P38356
|
FINISHED |
| Object | Ngāti Toa Rangatira acknowledged as kaitiaki |
—
|
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: Ngāti Toa Rangatira acknowledged as kaitiaki | Statement: [Ka Mate, rightsHolderRecognition, Ngāti Toa Rangatira acknowledged as kaitiaki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightsHolderRecognition Context triple: [Ka Mate, rightsHolderRecognition, Ngāti Toa Rangatira acknowledged as kaitiaki]
-
A.
rightHolder
Indicates that one entity holds or possesses a legal or contractual right in relation to another entity or resource.
-
B.
namingRightsHolder
Indicates which entity holds the official right to name or brand another entity (such as a venue, event, or asset).
-
C.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
D.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
E.
rightsStatementType
Indicates the specific category or nature of a rights statement that applies to a resource or entity.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7974aa481908799ef2f854d1c9d |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6f4245881909282b3184a288e2a |
completed | March 7, 2026, 6:34 a.m. |
Created at: March 4, 2026, 7:57 p.m.