Triple
T18071088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skol Beats |
E432430
|
entity |
| Predicate | parentBrand |
P6092
|
FINISHED |
| Object | Skol |
—
|
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: Skol | Statement: [Skol Beats, parentBrand, Skol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skol Context triple: [Skol Beats, parentBrand, Skol]
-
A.
Skol
chosen
Skol is a global beer brand, originally developed in Europe, known for its light lager and widespread popularity in markets such as Brazil and parts of Europe.
-
B.
Scuol
Scuol is a Swiss alpine village in the Lower Engadine region of the canton of Graubünden, known for its mineral springs, traditional Romansh culture, and mountain tourism.
-
C.
Schulek
Schulek is a Hungarian surname most notably associated with architect and restorer János Schulek.
-
D.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
E.
Askole
Askole is a remote high-altitude village in Pakistan’s Karakoram range that serves as a key gateway for trekking and mountaineering expeditions to major glaciers and peaks, including K2.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccee2fa4819098a61f7fdb8f1853 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.