Triple
T22867241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KK Zadar |
E567086
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | KK Šibenka |
—
|
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 Šibenka | Statement: [KK Zadar, hasRivalryWith, KK Šibenka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KK Šibenka Context triple: [KK Zadar, hasRivalryWith, KK Šibenka]
-
A.
GKK Šibenka
chosen
GKK Šibenka is a Croatian professional basketball club based in the coastal city of Šibenik, known for competing in the country’s national leagues.
-
B.
NK Istra 1961
NK Istra 1961 is a Croatian professional football club based in the coastal city of Pula that competes in the country’s top league.
-
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.
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.
-
E.
HNK Šibenik
HNK Šibenik is a Croatian professional football club based in the coastal city of Šibenik, known for competing in the country’s top football leagues.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f0210b481908e0e6c4f95ba5a3b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.