Triple
T4346296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skol |
E97910
|
entity |
| Predicate | hasBrandVariants |
P51253
|
FINISHED |
| Object | Skol Lemon |
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 Lemon | Statement: [Skol, hasBrandVariants, Skol Lemon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skol Lemon Context triple: [Skol, hasBrandVariants, Skol Lemon]
-
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.
Oksskolten
Oksskolten is the highest mountain in Northern Norway, known for its prominent peak in the Okstindan range.
-
C.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
D.
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.
-
E.
Kakshaal Too
Kakshaal Too is a remote and rugged mountain range in the Tian Shan system of Central Asia, spanning the border regions of Kyrgyzstan and China.
- 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.