Triple
T7501495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Albania Stadium |
E177270
|
entity |
| Predicate | homeStadiumOf |
P2696
|
FINISHED |
| Object | Dinamo City |
E603162
|
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: Dinamo City | Statement: [Air Albania Stadium, homeStadiumOf, Dinamo City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinamo City Context triple: [Air Albania Stadium, homeStadiumOf, Dinamo City]
-
A.
Dinamo
Dinamo is a Moscow Metro station named after the nearby Dynamo sports complex and stadium, serving passengers on the Zamoskvoretskaya Line.
-
B.
Dinamo
chosen
Dinamo is a Romanian professional football club based in Bucharest, known for its rich history and passionate fan base.
-
C.
Dinamo Riga
Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
-
D.
Dynamo Minsk
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.
-
E.
Dynamo Moscow
Dynamo Moscow is a prominent Russian professional ice hockey club based in Moscow, historically known for developing elite players such as Alex Ovechkin.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59aabb8819085bdbe9c793d5b8b |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9490fc81908d35c0537b45aa13 |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.