Triple
T18194587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFK Göteborg |
E435624
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Blåvitt |
—
|
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: Blåvitt | Statement: [IFK Göteborg, nickname, Blåvitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blåvitt Context triple: [IFK Göteborg, nickname, Blåvitt]
-
A.
Blåvitt
chosen
Blåvitt is the popular nickname of IFK Göteborg, one of Sweden’s most successful and historically significant football clubs.
-
B.
Blågult
Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
-
C.
Crveno-beli
Crveno-beli is the popular nickname for KK Crvena zvezda, the prominent Belgrade-based Serbian professional basketball club known for its red-and-white colors.
-
D.
Blå
Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
-
E.
Paars-wit
Paars-wit is the traditional purple-and-white color identity associated with Belgian football club R.S.C. Anderlecht.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.