Triple
T17640780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix for best performer |
E429216
|
entity |
| Predicate | notableRegionFocus |
P91462
|
FINISHED |
| Object | Slavic countries |
—
|
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: Slavic countries | Statement: [Grand Prix for best performer, notableRegionFocus, Slavic countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRegionFocus Context triple: [Grand Prix for best performer, notableRegionFocus, Slavic countries]
-
A.
notableInRegion
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
-
B.
notableTargetArea
chosen
Indicates that an action, effect, or focus is specifically directed toward a particularly important or prominent area or region.
-
C.
notableStyleRegion
Indicates that a particular style, manner, or artistic approach is especially characteristic of or prominent within a specific geographic region.
-
D.
notableRegionOfSettlement
Indicates that a specified region is a significant or prominent place where an entity is or has been settled.
-
E.
notableRegionOfBusiness
Indicates that a specified geographic region is a significant or primary area in which an entity conducts its business activities.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de50bf481909e938613b38f0202 |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:02 a.m.