Triple
T15366475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venezuelan Standard Time |
E367426
|
entity |
| Predicate | previousStandardOffset |
P5577
|
FINISHED |
| Object | UTC−04:30 |
—
|
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: UTC−04:30 | Statement: [Venezuelan Standard Time, previousStandardOffset, UTC−04:30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousStandardOffset Context triple: [Venezuelan Standard Time, previousStandardOffset, UTC−04:30]
-
A.
previousUTCOffset
chosen
Indicates the UTC time offset that applied to an entity (such as a timezone or location) immediately before the current or given offset.
-
B.
previousTimeStandard
Indicates that one time standard directly preceded another in chronological use or official adoption.
-
C.
offsetFromStandardTime
Indicates the time difference between a given local time and the corresponding standard time for that location.
-
D.
offsetDSTApprox
Indicates an approximate time offset between entities that accounts for daylight saving time adjustments.
-
E.
DSTAlternativePreviouslyUsedUTCOffset
Indicates that a daylight saving time alternative has, at some point in the past, used a specific UTC offset.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.