Triple
T19582207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saku Suurhall |
E490021
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Saku Brewery |
—
|
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: Saku Brewery | Statement: [Saku Suurhall, sponsor, Saku Brewery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saku Brewery Context triple: [Saku Suurhall, sponsor, Saku Brewery]
-
A.
Saku Brewery
chosen
Saku Brewery is one of Estonia’s oldest and largest breweries, best known for producing a wide range of popular beers and other beverages.
-
B.
Sapporo Breweries
Sapporo Breweries is a major Japanese beer and beverage company best known for producing Sapporo Beer, one of Japan’s oldest and most internationally recognized beer brands.
-
C.
Asahi Breweries
Asahi Breweries is a major Japanese beverage company best known for producing Asahi beer and other alcoholic and soft drink products sold worldwide.
-
D.
Sapporo Beer
Sapporo Beer is a well-known Japanese beer brand recognized for its crisp, clean lager and long history as one of Japan’s oldest and most widely exported brews.
-
E.
Yebisu Beer
Yebisu Beer is a premium Japanese beer brand, known for its rich, malty flavor and long brewing tradition under Sapporo Breweries.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6404e18f88190b7fec59499dd25e8 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.