Triple
T21122961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FK Sarajevo |
E520478
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Bordo tim |
—
|
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: Bordo tim | Statement: [FK Sarajevo, hasNickname, Bordo tim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bordo tim Context triple: [FK Sarajevo, hasNickname, Bordo tim]
-
A.
Bordo tim
chosen
Bordo tim is the popular nickname for FK Sarajevo, a prominent Bosnian football club known for its maroon team colors and passionate fan base.
-
B.
Bordo-Mavililer
Bordo-Mavililer is the popular Turkish nickname for Trabzonspor, referring to the club’s claret and blue team colors.
-
C.
Bordo
Bordo is the popular nickname for FK Sarajevo, a prominent Bosnian football club known for its maroon team colors.
-
D.
Biancorossi
Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
-
E.
Biancorossi
Biancorossi is the traditional nickname of Italian football club AC Monza, referring to the team’s white and red colors.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72236b2d88190bef9f0cd6924ca92 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:55 p.m.