Triple
T19057793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irkutsk Time |
E466443
|
entity |
| Predicate | historicalDSTObserved |
P4819
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Irkutsk Time, historicalDSTObserved, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalDSTObserved Context triple: [Irkutsk Time, historicalDSTObserved, yes]
-
A.
historicalDSTUsage
chosen
Indicates that there was a period in the past when the entity or location observed daylight saving time, even if it may not do so currently.
-
B.
DSTobserved
Indicates that daylight saving time is in effect or being observed for a given time, date, or location.
-
C.
previouslyObservedDST
Indicates that the subject has been observed in a context where daylight saving time (DST) was in effect at some point in the past.
-
D.
DSTObservedInCountry
Indicates that daylight saving time (DST) is implemented or observed within a given country.
-
E.
DSTObservedBetweenYears
Indicates that daylight saving time was in effect at some point between the specified start and end years.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0742288190a594be859184841a |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.