Triple
T683635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miroslav Šatan |
E13234
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Dukla Trenčín |
E69719
|
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: Dukla Trenčín | Statement: [Miroslav Šatan, playedFor, Dukla Trenčín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dukla Trenčín Context triple: [Miroslav Šatan, playedFor, Dukla Trenčín]
-
A.
HC Dukla Trenčín
chosen
HC Dukla Trenčín is a professional ice hockey club from Trenčín, Slovakia, known for developing numerous NHL players including Zdeno Chára.
-
B.
HC Slovan Bratislava
HC Slovan Bratislava is a prominent professional ice hockey club from Bratislava, Slovakia, known as one of the country’s most successful and historically significant teams.
-
C.
HC Lev Praha
HC Lev Praha was a professional ice hockey club based in Prague, Czech Republic, that competed in the Kontinental Hockey League (KHL).
-
D.
Trenčín
Trenčín is a historic city in western Slovakia known for its medieval castle overlooking the Váh River and its role as a regional cultural and economic center.
-
E.
Cracovia
Cracovia is a historic Polish football club from Kraków, known as one of the oldest and most traditional teams in the country.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a070d4c08190a510a8f9c1ae8076 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca153e081908facd835a79da25d |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.