Triple
T32206411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauke dialect |
E822682
|
entity |
| Predicate | isNotStandardizedAs |
P148225
|
FINISHED |
| Object | separate ISO 639-3 code |
—
|
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: separate ISO 639-3 code | Statement: [Mauke dialect, isNotStandardizedAs, separate ISO 639-3 code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotStandardizedAs Context triple: [Mauke dialect, isNotStandardizedAs, separate ISO 639-3 code]
-
A.
notStandardizedBy
chosen
Indicates that an entity has not been brought into conformity with a particular standard, method, or specification by the referenced agent or authority.
-
B.
isLessStandardizedThan
Indicates that one entity follows fewer or less rigid standards, norms, or formalized procedures than another entity.
-
C.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
D.
isStandardOf
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
-
E.
standardizedIn
Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb8ac984819098e2660c02662deb |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:36 a.m.