Triple
T9493670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remuneration Authority of New Zealand |
E228951
|
entity |
| Predicate | typeOfRemunerationSet |
P14176
|
FINISHED |
| Object | salaries |
—
|
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: salaries | Statement: [Remuneration Authority of New Zealand, typeOfRemunerationSet, salaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRemunerationSet Context triple: [Remuneration Authority of New Zealand, typeOfRemunerationSet, salaries]
-
A.
salaryType
Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
-
B.
compensationCategory
chosen
Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
-
C.
memberRemuneration
Indicates that a member receives payment or compensation, typically for their role, services, or participation within an organization or group.
-
D.
hasNoAdditionalRemuneration
Indicates that an entity does not receive any extra payment or compensation beyond the primary agreed remuneration.
-
E.
compensationModel
Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95e8c8908190950e1130f9612823 |
completed | April 1, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.