Triple
T26058212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montenegro–Albania border |
E657182
|
entity |
| Predicate | timeZoneSideMontenegro |
P159902
|
FINISHED |
| Object | Central European Time |
—
|
NE NERFINISHED |
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: Central European Time | Statement: [Montenegro–Albania border, timeZoneSideMontenegro, Central European Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeZoneSideMontenegro Context triple: [Montenegro–Albania border, timeZoneSideMontenegro, Central European Time]
-
A.
timeZoneOnRussianSide
Indicates that the referenced time zone is the one used on the Russian side of a border, region, or cross-border context.
-
B.
timeZoneOnSpanishSide
Indicates that the referenced time zone applies specifically to the Spanish side of a border or region.
-
C.
timeZoneOnPolishSide
Indicates that the referenced time zone applies to the Polish side of a border or region.
-
D.
timeZoneOnBelarusianSide
Indicates that the referenced time zone is the one used on the Belarusian side of a border, region, or context involving Belarus.
-
E.
timeZoneOnGibraltarSide
Indicates that the referenced time zone applies specifically to the Gibraltar side of a border, region, or crossing.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6068fa9708190a061497990b64cd4 |
completed | May 2, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 7:13 p.m.