Triple
T2379198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ka Mate |
E46271
|
entity |
| Predicate | authorEthnicity |
P194
|
FINISHED |
| Object | Ngāti Toa Rangatira chief |
—
|
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 chief | Statement: [Ka Mate, authorEthnicity, Ngāti Toa Rangatira chief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorEthnicity Context triple: [Ka Mate, authorEthnicity, Ngāti Toa Rangatira chief]
-
A.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
B.
representedEthnicFirst
Indicates that an entity served as the first person of a given ethnic group to represent another entity (such as an institution, organization, or jurisdiction).
-
C.
notableHistoricalFigureEthnicity
Indicates that a notable historical figure belongs to, or is identified with, a particular ethnic group.
-
D.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
E.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
- 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_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. |
Created at: March 4, 2026, 7:57 p.m.