Triple
T7891796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AB InBev |
E183252
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Skol |
E97910
|
NE 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: Skol | Statement: [AB InBev, brand, Skol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skol Context triple: [AB InBev, brand, 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.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
D.
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.
-
E.
Oksskolten
Oksskolten is the highest mountain in Northern Norway, known for its prominent peak in the Okstindan range.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.