Triple
T346294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile Summer Time |
E6949
|
entity |
| Predicate | offsetRelativeToChileStandardTime |
P12622
|
FINISHED |
| Object | +1 hour |
—
|
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: +1 hour | Statement: [Chile Summer Time, offsetRelativeToChileStandardTime, +1 hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offsetRelativeToChileStandardTime Context triple: [Chile Summer Time, offsetRelativeToChileStandardTime, +1 hour]
-
A.
differenceFromChinaStandardTime
Indicates the time offset or deviation of something’s time setting relative to China Standard Time.
-
B.
relativeToEasternTime
Indicates that the timing or occurrence of an event is specified or interpreted with respect to the Eastern Time zone.
-
C.
offsetInSecondsFromUTC
Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
-
D.
differenceFromBangladeshStandardTime
Indicates the time offset between a given time reference and Bangladesh Standard Time.
-
E.
UTCOffsetStandardTime
Indicates the time difference, in hours and minutes, that a location’s standard (non-daylight-saving) local time has from Coordinated Universal Time (UTC).
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0240e88190bc70784772f5fa30 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eae0bd7081908197bbf5c55fe647 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.