Triple
T15693972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta Airport |
E380406
|
entity |
| Predicate | timezoneInSummer |
P5550
|
FINISHED |
| Object | CEST |
—
|
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: CEST | Statement: [Alta Airport, timezoneInSummer, CEST]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timezoneInSummer Context triple: [Alta Airport, timezoneInSummer, CEST]
-
A.
hasTimeZoneInWinter
Indicates that an entity is associated with a specific time zone during the winter season.
-
B.
isSummerTimeVariantOf
Indicates that one temporal or time-related entity is the daylight-saving (summer time) version of another standard-time entity.
-
C.
summerTimeZone
chosen
Indicates that a specified region or entity uses a particular time zone during the summer or daylight-saving period.
-
D.
differenceFromLondonTimeInSummer
Indicates the time difference between a given location and London during the summer (daylight saving) period.
-
E.
daylightSavingTimeHemisphere
Indicates the hemisphere (e.g., northern or southern) in which a location follows a particular daylight saving time pattern.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.