Triple
T12525343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia/Aqtobe |
E299421
|
entity |
| Predicate | belongsToTimeZoneGroup |
P48628
|
FINISHED |
| Object | Kazakhstan time zones |
—
|
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: Kazakhstan time zones | Statement: [Asia/Aqtobe, belongsToTimeZoneGroup, Kazakhstan time zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToTimeZoneGroup Context triple: [Asia/Aqtobe, belongsToTimeZoneGroup, Kazakhstan time zones]
-
A.
relatedTimeZone
Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
-
B.
locatedInTimeZone
Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
-
C.
followedByTimeZone
Indicates that one time zone chronologically succeeds another in a defined ordering or sequence.
-
D.
timeZoneDependence
Indicates how a process, value, or behavior changes or is determined based on the time zone in which it is considered.
-
E.
locatedInTimeZoneDatabaseCountry
chosen
Indicates that the entity is situated in, or associated with, a country as defined in the time zone database.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.