Triple
T22781673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KK Osijek |
E563855
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | KK Osijek |
—
|
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: KK Osijek | Statement: [KK Osijek, shortName, KK Osijek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KK Osijek Context triple: [KK Osijek, shortName, KK Osijek]
-
A.
KK Osijek
chosen
KK Osijek is a professional basketball club based in the city of Osijek, Croatia, competing in the country’s national basketball leagues.
-
B.
NK Osijek
NK Osijek is a professional Croatian football club based in the city of Osijek, known for competing in the country’s top league and developing local talent.
-
C.
KK Zagreb
KK Zagreb is a Croatian professional basketball club based in Zagreb that has competed in the country’s top leagues and developed several notable players.
-
D.
KK Slavonski Brod
KK Slavonski Brod is a Croatian basketball club based in the city of Slavonski Brod.
-
E.
NK Zagreb
NK Zagreb is a Croatian professional football club based in Zagreb that has competed in the country’s top leagues and developed several notable players.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2dd250819093a5c49806916ec4 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:28 p.m.