Triple
T17009643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedřich Smetana |
E412663
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Má vlast |
E515803
|
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: Má vlast | Statement: [Bedřich Smetana, notableWork, Má vlast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Má vlast Context triple: [Bedřich Smetana, notableWork, Má vlast]
-
A.
Má vlast
chosen
Má vlast is a cycle of six symphonic poems by Czech composer Bedřich Smetana that celebrates the history, landscapes, and legends of Bohemia.
-
B.
Mastník
Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
-
C.
Ojczyzna
Ojczyzna is a socialist realist novel by Polish writer Wanda Wasilewska, reflecting wartime patriotism and communist ideology.
-
D.
Sluha Narodu
Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
-
E.
The Bohemian
The Bohemian is a 19th-century realist painting by French academic artist William-Adolphe Bouguereau, depicting a young, contemplative female figure in a finely detailed, idealized style.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:33 a.m.