Triple
T14318873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BLR |
E355027
|
entity |
| Predicate | representsCountryTimeZone |
P58517
|
FINISHED |
| Object | UTC+3 |
—
|
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: UTC+3 | Statement: [BLR, representsCountryTimeZone, UTC+3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsCountryTimeZone Context triple: [BLR, representsCountryTimeZone, UTC+3]
-
A.
relatedTimeZone
Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
-
B.
isLocatedInTimeZoneRegion
Indicates that one entity exists within or is associated with the temporal boundaries defined by a specific time zone region.
-
C.
timeZoneRegionOf
chosen
Indicates that a time zone is the official or primary time zone used within a specified geographic region.
-
D.
timeZoneType
Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
-
E.
timeZoneRegionType
Indicates the classification of a time zone based on the type of geographic or administrative region it is associated with.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883a93548190ac671b001d15d0bd |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.