Triple
T36724045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Ruanui |
E907145
|
entity |
| Predicate | settlementProcess |
P186241
|
FINISHED |
| Object | Waitangi Tribunal process |
—
|
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: Waitangi Tribunal process | Statement: [Ngāti Ruanui, settlementProcess, Waitangi Tribunal process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settlementProcess Context triple: [Ngāti Ruanui, settlementProcess, Waitangi Tribunal process]
-
A.
settlementWith
Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
-
B.
settlementProgram
Indicates a program or organized initiative designed to establish, support, or manage the settlement of people in a particular area or community.
-
C.
settlementState
Indicates the state or status of a settlement process or transaction at a given point in time.
-
D.
settlementContext
Indicates the situational or environmental circumstances in which a settlement exists or occurs, such as its surrounding conditions, purpose, or functional setting.
-
E.
settlementMode
Indicates the method or process by which a financial or transactional obligation is settled or completed between parties.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:12 p.m.