Triple
T33237896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNZM |
E850881
|
entity |
| Predicate | orderGrade |
P180462
|
FINISHED |
| Object | second-highest grade of the New Zealand Order of Merit |
—
|
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: second-highest grade of the New Zealand Order of Merit | Statement: [KNZM, orderGrade, second-highest grade of the New Zealand Order of Merit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderGrade Context triple: [KNZM, orderGrade, second-highest grade of the New Zealand Order of Merit]
-
A.
orderGradeLevel
Indicates the relative sequencing or ranking of grade levels, specifying which grade comes before or after another.
-
B.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
C.
orderingType
Indicates the specific method or arrangement by which items, events, or entities are ordered or sequenced relative to one another.
-
D.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
-
E.
orderClass
Indicates that one entity is classified into a particular order or category within a hierarchical or taxonomic system.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
| PDg | Predicate description generation | batch_69f74061c440819080434155c2d60341 |
completed | May 3, 2026, 12:32 p.m. |
Created at: May 1, 2026, 1:31 a.m.