Triple
T5640426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazakh Latin alphabet |
E124250
|
entity |
| Predicate | hasMultipleRevisions |
P28478
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kazakh Latin alphabet, hasMultipleRevisions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleRevisions Context triple: [Kazakh Latin alphabet, hasMultipleRevisions, true]
-
A.
hasMultipleVersions
chosen
Indicates that an entity exists in more than one distinct version or revision.
-
B.
hasMultipleCreations
Indicates that an entity is associated with more than one distinct creation or produced work.
-
C.
numberOfMajorRevisions
Indicates the count of significant revision events that have occurred for an entity.
-
D.
hasHumanModification
Indicates that an entity has been altered, influenced, or modified as a result of human activity or intervention.
-
E.
includedInLaterStageRevisions
Indicates that the subject is incorporated or carried forward into revised versions or stages that occur later in a process or workflow.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.