Triple
T34219844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kazakhstan Time |
E877893
|
entity |
| Predicate | timeDifferenceWithEastKazakhstanTime |
P178541
|
FINISHED |
| Object | 1 hour |
—
|
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: 1 hour | Statement: [West Kazakhstan Time, timeDifferenceWithEastKazakhstanTime, 1 hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDifferenceWithEastKazakhstanTime Context triple: [West Kazakhstan Time, timeDifferenceWithEastKazakhstanTime, 1 hour]
-
A.
timeZoneOnKazakhSide
Indicates that the referenced time zone is the one used on the Kazakh side of a border, region, or shared area.
-
B.
differenceFromPakistanStandardTime
Indicates the time offset or deviation of a given time or timezone relative to Pakistan Standard Time.
-
C.
differenceFromUSEasternStandardTime
Indicates the time offset or deviation of something’s time setting relative to U.S. Eastern Standard Time.
-
D.
timeDifferenceWithWesternIndonesianTime
Indicates the temporal offset or difference between a given time and Western Indonesian Time (WIB).
-
E.
differenceFromChinaStandardTime
Indicates the time offset or deviation of something’s time setting relative to China Standard Time.
- F. None of above. chosen
Provenance (4 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_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.