Triple
T199769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Africa Time |
E4075
|
entity |
| Predicate | DSTOffsetChange |
P8057
|
FINISHED |
| Object | 0 hours |
—
|
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: 0 hours | Statement: [Central Africa Time, DSTOffsetChange, 0 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DSTOffsetChange Context triple: [Central Africa Time, DSTOffsetChange, 0 hours]
-
A.
DSTChangeYear
Indicates the specific year in which a daylight saving time (DST) change occurs or is scheduled to occur.
-
B.
DSTChangeReason
Indicates the reason or cause for a change in daylight saving time status or rules.
-
C.
DSTPolicy
Indicates a relationship where a timekeeping system follows a specific daylight saving time policy, defining how and when clocks are adjusted seasonally.
-
D.
DSTStartRule
Indicates the rule or condition that determines when daylight saving time begins for a given time zone or region.
-
E.
DSTEndRule
Indicates the rule or condition that specifies when daylight saving time ends in a given timekeeping system.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcc6dc88190b8c24b485588dfe4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69a25b4886b48190b46fd2244648a098 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25bc6ba208190aa8bec59d32f95fd |
completed | Feb. 28, 2026, 3:06 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.