Triple
T12548507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific/Palau |
E300033
|
entity |
| Predicate | hasDst |
P105840
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Pacific/Palau, hasDst, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDst Context triple: [Pacific/Palau, hasDst, false]
-
A.
hasDSTComponent
Indicates that something includes or is associated with a component related to Daylight Saving Time (DST) behavior or configuration.
-
B.
hasDaylightSavingVariant
Indicates that one time-related entity is the daylight saving time version or counterpart of another standard-time entity.
-
C.
DSTType
Indicates the type or classification of daylight saving time (DST) applied to a given time zone or region.
-
D.
DSTOffsetType
Indicates the relationship between a time reference and the amount of time it is shifted from standard time due to daylight saving time adjustments.
-
E.
DSTObservedInCountry
Indicates that daylight saving time (DST) is implemented or observed within a given country.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:58 p.m.