Triple
T1554493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Standard Time |
E33169
|
entity |
| Predicate | hasOppositeSeasonTime |
P30290
|
FINISHED |
| Object | Greenwich Mean Time in Ireland |
—
|
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: Greenwich Mean Time in Ireland | Statement: [Irish Standard Time, hasOppositeSeasonTime, Greenwich Mean Time in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOppositeSeasonTime Context triple: [Irish Standard Time, hasOppositeSeasonTime, Greenwich Mean Time in Ireland]
-
A.
isSummerTimeVariantOf
Indicates that one temporal or time-related entity is the daylight-saving (summer time) version of another standard-time entity.
-
B.
hemisphereSeasonContrast
Indicates that the seasons in one hemisphere occur in opposite phases or timing compared to those in the other hemisphere.
-
C.
hasNoSeasonalClockChanges
Indicates that a place or system does not adjust its clocks for seasonal time changes such as daylight saving time.
-
D.
timeInWinter
Indicates that the specified time interval occurs during the winter season.
-
E.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a9407aa20881909e747f247ccec642 |
completed | March 5, 2026, 8:36 a.m. |
Created at: March 4, 2026, 7:27 p.m.