Triple
T22866428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Star Belgrade |
E567066
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Red Star |
—
|
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: Red Star | Statement: [Red Star Belgrade, shortName, Red Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Star Context triple: [Red Star Belgrade, shortName, Red Star]
-
A.
Red Star
chosen
Red Star is a major Serbian professional football club based in Belgrade, renowned for its passionate fan base and success in domestic and European competitions, including winning the 1991 European Cup.
-
B.
Red Star
"Red Star" is an EP by the American rock band Third Eye Blind, featuring a small collection of tracks released outside their main studio albums.
-
C.
Sovet Gospod
Sovet Gospod is the Russian name for the Council of Lords, a governing or advisory body typically associated with high-ranking nobility or leadership.
-
D.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
E.
Zolotaya Niva
Zolotaya Niva is a metro station on the Novosibirsk Metro system in Novosibirsk, Russia.
- 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_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.