Triple
T16268487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Kometa Brno |
E394935
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Rudá hvězda Brno |
E394935
|
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: Rudá hvězda Brno | Statement: [HC Kometa Brno, formerName, Rudá hvězda Brno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudá hvězda Brno Context triple: [HC Kometa Brno, formerName, Rudá hvězda Brno]
-
A.
Dukla Brno
Dukla Brno is a Czech sports club historically associated with the army-based Dukla sports association, best known for its achievements in cycling.
-
B.
FC Zbrojovka Brno
FC Zbrojovka Brno is a Czech professional football club based in Brno, known for competing in the country’s top leagues and having a long-standing tradition in Czech football.
-
C.
HC Kometa Brno
chosen
HC Kometa Brno is a historic and successful professional ice hockey club based in Brno, Czech Republic, competing in the country’s top-tier league.
-
D.
Dukla Prague
Dukla Prague is a historic Czech football club from Prague known for its success in the mid-20th century and for producing notable players such as Pavel Nedvěd.
-
E.
Dukla Tábor
Dukla Tábor is a Czech army-affiliated sports club known particularly for its success in cycling and other endurance sports.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245ca5c708190a1e98ab37740c032 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bb1d64819080f007656307f58b |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.