Triple
T23082228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velimir Perasović |
E575505
|
entity |
| Predicate | coachOfSportsTeam |
P2169
|
FINISHED |
| Object | KK Split |
—
|
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 Split | Statement: [Velimir Perasović, coachOfSportsTeam, KK Split]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KK Split Context triple: [Velimir Perasović, coachOfSportsTeam, KK Split]
-
A.
KK Split
chosen
KK Split is a Croatian professional basketball club based in Split, historically one of Europe’s most successful teams, especially known for its dominance in the late 1980s and early 1990s.
-
B.
KK
KK is the commonly used abbreviation for the Karachi Kings, a professional franchise cricket team in Pakistan's Super League.
-
C.
KK
KK is a standardized orthography for the Cornish language known as Kernewek Kemmyn.
-
D.
KK
KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
-
E.
KK
KK is the National Rail station code assigned to Kilkenny railway station in Ireland.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da239e48190ad041261c6b510a0 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:56 p.m.