Triple
T18644928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlsberg Group |
E455779
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Carlsberg |
—
|
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: Carlsberg | Statement: [Carlsberg Group, brand, Carlsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlsberg Context triple: [Carlsberg Group, brand, Carlsberg]
-
A.
Carlsberg Group
chosen
Carlsberg Group is a major Danish multinational brewing company known for producing and distributing a wide range of beer brands worldwide.
-
B.
Tuborg
Tuborg is a Danish brewing company best known for its popular lagers and as a prominent sponsor of music festivals and cultural events.
-
C.
Heineken N.V.
Heineken N.V. is a major Dutch multinational brewing company best known for producing Heineken beer and owning numerous breweries and beer brands worldwide.
-
D.
AB InBev
AB InBev is a multinational beverage and brewing company headquartered in Belgium and one of the world’s largest beer producers, known for brands such as Budweiser, Stella Artois, and Corona.
-
E.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500c36188190bfdd7aca73f3c006 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.