Triple
T12649952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia/Chita |
E302129
|
entity |
| Predicate | observesStandardTimeUTCOffset |
P68829
|
FINISHED |
| Object | +09:00 |
—
|
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: +09:00 | Statement: [Asia/Chita, observesStandardTimeUTCOffset, +09:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesStandardTimeUTCOffset Context triple: [Asia/Chita, observesStandardTimeUTCOffset, +09:00]
-
A.
hasStandardTimeUTCOffset
chosen
Indicates the fixed difference in hours and minutes between an entity’s standard (non-daylight-saving) local time and Coordinated Universal Time (UTC).
-
B.
observesDSTOffset
Indicates that one entity follows or applies a specific daylight saving time (DST) offset in its timekeeping or scheduling.
-
C.
observesCentralStandardTime
Indicates that an entity follows Central Standard Time as its primary time zone for timekeeping or scheduling.
-
D.
observesDaylightSavingTime
Indicates that an entity adjusts its standard time forward and backward according to a daylight saving time schedule.
-
E.
observedAsStandardTimeIn
Indicates that a particular time standard is used as the official or standard time within a specified place or region.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.