Triple
T6873601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peurunvan orthography |
E158613
|
entity |
| Predicate | standardizationTarget |
P27274
|
FINISHED |
| Object | Kernev dialect |
—
|
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: Kernev dialect | Statement: [Peurunvan orthography, standardizationTarget, Kernev dialect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardizationTarget Context triple: [Peurunvan orthography, standardizationTarget, Kernev dialect]
-
A.
isStandardizationTargetOf
chosen
Indicates that an entity is the object or subject being standardized within a standardization process, activity, or initiative.
-
B.
standardizedIn
Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
-
C.
standardizedBy
Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
-
D.
standardizationStatus
Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
-
E.
standardizationScope
Indicates the extent or domain within which a standard or standardization effort is intended to apply or be enforced.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c8d3888190b1c1f74aa66d6071 |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.