Triple
T1524189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Africa Time |
E32297
|
entity |
| Predicate | hasNumericUTCOffset |
P4413
|
FINISHED |
| Object | +3 |
—
|
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: +3 | Statement: [East Africa Time, hasNumericUTCOffset, +3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumericUTCOffset Context triple: [East Africa Time, hasNumericUTCOffset, +3]
-
A.
isFixedOffsetFromUTC
Indicates that one time-related entity consistently differs from Coordinated Universal Time (UTC) by a specific, unchanging offset.
-
B.
usesUTCOffset
Indicates that one entity applies or relies on the specified UTC time offset for timekeeping or timestamp interpretation.
-
C.
hasHalfHourOffset
Indicates that one entity’s time zone differs from another’s by an offset that includes a 30-minute (half-hour) component.
-
D.
offsetInSecondsFromUTC
Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
-
E.
offsetFromUTCInHours
chosen
Indicates the number of hours a time value is offset from Coordinated Universal Time (UTC), positive for time zones ahead and negative for those behind.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.