Triple
T12013342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anavyssos |
E285960
|
entity |
| Predicate | timeZoneUtcOffsetDst |
P713
|
FINISHED |
| Object | +03:00 |
—
|
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: +03:00 | Statement: [Anavyssos, timeZoneUtcOffsetDst, +03:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeZoneUtcOffsetDst Context triple: [Anavyssos, timeZoneUtcOffsetDst, +03:00]
-
A.
UTCOffsetDaylightSavingTime
chosen
Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
-
B.
timeZoneOriginDST
Indicates that the relationship specifies the original time zone of an entity, including whether daylight saving time (DST) is in effect.
-
C.
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.
-
D.
timeOffsetInHours
Indicates the temporal difference between two time points or events, measured in hours.
-
E.
timeOffsetType
Indicates the type or category of temporal offset that specifies how one time point is shifted relative to another.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.