Triple
T10665761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verny |
E251352
|
entity |
| Predicate | nowFunction |
P5507
|
FINISHED |
| Object | major cultural center via Almaty |
—
|
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: major cultural center via Almaty | Statement: [Verny, nowFunction, major cultural center via Almaty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nowFunction Context triple: [Verny, nowFunction, major cultural center via Almaty]
-
A.
currentFunction
chosen
Indicates that an entity is presently serving in a specific role, position, or capacity.
-
B.
nowCalled
Indicates that an entity previously known by one name is currently referred to by a different name.
-
C.
now
Indicates that an action, state, or relationship is occurring at the present moment in time.
-
D.
contemporaryFunction
Indicates that one entity serves a role or performs a function during the same time period as another entity.
-
E.
functionInWork
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31f87748190bb44db8afa901763 |
completed | April 9, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:08 p.m.