Triple
T15366478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venezuelan Standard Time |
E367426
|
entity |
| Predicate | isWholeHourOffset |
P118297
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Venezuelan Standard Time, isWholeHourOffset, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWholeHourOffset Context triple: [Venezuelan Standard Time, isWholeHourOffset, true]
-
A.
hasHalfHourOffset
Indicates that one entity’s time zone differs from another’s by an offset that includes a 30-minute (half-hour) component.
-
B.
hasNonIntegerHourOffset
Indicates that the time-related value or time zone differs from a reference time by an offset that is not a whole number of hours (e.g., includes 30- or 45-minute increments).
-
C.
isHalfHourTimeZone
Indicates that a time zone has an offset from Coordinated Universal Time (UTC) that differs by a half-hour increment rather than a whole hour.
-
D.
usesQuarterHourOffset
Indicates that the time zone or time representation applies a UTC offset that differs from whole hours by a quarter hour (15 minutes).
-
E.
hasTimeOffset
Indicates that one temporal value is shifted or displaced from another by a specified amount of 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_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. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.