Triple
T26487029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palauli |
E664848
|
entity |
| Predicate | hasDSTOfCountry |
P160793
|
FINISHED |
| Object | Samoa Daylight Time |
—
|
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: Samoa Daylight Time | Statement: [Palauli, hasDSTOfCountry, Samoa Daylight Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDSTOfCountry Context triple: [Palauli, hasDSTOfCountry, Samoa Daylight Time]
-
A.
DSTObservedInCountry
Indicates that daylight saving time (DST) is implemented or observed within a given country.
-
B.
hasDst
Indicates that one entity serves as the destination or target location of another entity.
-
C.
hasDSTComponent
Indicates that something includes or is associated with a component related to Daylight Saving Time (DST) behavior or configuration.
-
D.
observesDSTOffset
Indicates that one entity follows or applies a specific daylight saving time (DST) offset in its timekeeping or scheduling.
-
E.
DSTTimeZone
Indicates that a time-related entity operates under a daylight saving time rule or belongs to a time zone that observes daylight saving time adjustments.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612ffeb248190b8e7e6c773f0d951 |
completed | May 2, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 12:31 a.m.