Triple
T2002608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minsk |
E43503
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object | HC Dinamo Minsk |
E152660
|
NE FINISHED |
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: HC Dinamo Minsk | Statement: [Minsk, hasSportsTeam, HC Dinamo Minsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HC Dinamo Minsk Context triple: [Minsk, hasSportsTeam, HC Dinamo Minsk]
-
A.
Dynamo Minsk
chosen
Dynamo Minsk is a professional sports club from Minsk, Belarus, best known for its football team competing in the country’s top league and European competitions.
-
B.
FC Dynamo Moscow
FC Dynamo Moscow is one of Russia’s oldest and most storied football clubs, based in Moscow and historically known for its strong domestic and European performances.
-
C.
FC Dynamo Brest
FC Dynamo Brest is a professional football club from Brest, Belarus, that competes in the Belarusian football league system and has won multiple domestic trophies.
-
D.
Dinamo Riga
Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
-
E.
HC Dynamo Kharkiv
HC Dynamo Kharkiv is a professional ice hockey club based in Kharkiv, Ukraine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8820cec8190a945e5daeb8c9df6 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2707c074819095f932a67f7b5fb9 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:37 p.m.