Triple
T4346294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skol |
E97910
|
entity |
| Predicate | hasBrandVariants |
P51253
|
FINISHED |
| Object | Skol Hops |
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 Hops | Statement: [Skol, hasBrandVariants, Skol Hops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skol Hops Context triple: [Skol, hasBrandVariants, Skol Hops]
-
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.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
C.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
D.
Oksskolten
Oksskolten is the highest mountain in Northern Norway, known for its prominent peak in the Okstindan range.
-
E.
Reedus
Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3563eab24819088add9180af2ce3c |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba958b88190b1b4efe4274cd060 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:15 p.m.