Triple
T285262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ionic Greek |
E5873
|
entity |
| Predicate | standardizedInto |
P7508
|
FINISHED |
| Object | classical Ionic alphabet of 24 letters |
—
|
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: classical Ionic alphabet of 24 letters | Statement: [Ionic Greek, standardizedInto, classical Ionic alphabet of 24 letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardizedInto Context triple: [Ionic Greek, standardizedInto, classical Ionic alphabet of 24 letters]
-
A.
standardizedIn
chosen
Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
-
B.
standardizedBy
Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
-
C.
firstStandardized
Indicates that an entity is the earliest or primary instance to which a standard or uniform specification has been first applied among comparable entities.
-
D.
laterStandardization
Indicates that one entity becomes standardized or formally established at a later time than another entity.
-
E.
standardizationInfluence
Indicates the extent to which one entity’s standards, norms, or standardization efforts shape, guide, or constrain another entity’s practices, processes, or specifications.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a2605b372c8190831570aa6532cc96 |
completed | Feb. 28, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69a25b7a8d148190aacdcc8ccb35c7f3 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.