Triple
T34219850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kazakhstan Time |
E877893
|
entity |
| Predicate | observesDSTInModernPractice |
P8084
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [West Kazakhstan Time, observesDSTInModernPractice, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesDSTInModernPractice Context triple: [West Kazakhstan Time, observesDSTInModernPractice, no]
-
A.
observesDSTOffset
Indicates that one entity follows or applies a specific daylight saving time (DST) offset in its timekeeping or scheduling.
-
B.
DSTObservedInCountry
Indicates that daylight saving time (DST) is implemented or observed within a given country.
-
C.
DSTobserved
chosen
Indicates that daylight saving time is in effect or being observed for a given time, date, or location.
-
D.
observesDaylightSavingTimeFor
Indicates that one entity follows or applies a specific daylight saving time scheme or rule for another entity (such as a place, time zone, or period).
-
E.
observesDaylightSavingWith
Indicates that one entity follows the same daylight saving time rules or schedule as another entity.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:55 a.m.