Triple
T18644929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlsberg Group |
E455779
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Tuborg |
—
|
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: Tuborg | Statement: [Carlsberg Group, brand, Tuborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuborg Context triple: [Carlsberg Group, brand, Tuborg]
-
A.
Tuborg
chosen
Tuborg is a Danish brewing company best known for its popular lagers and as a prominent sponsor of music festivals and cultural events.
-
B.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
C.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
-
D.
Carling
Carling is a commune in northeastern France, known historically for its coal mining and industrial activity in the Moselle department.
-
E.
Stella Artois
Stella Artois is a globally recognized Belgian pilsner-style lager beer known for its distinctive chalice glass and long brewing heritage dating back to the 14th century.
- 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.