Triple
T5371189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vltava River |
E108852
|
entity |
| Predicate | featuredInWork |
P626
|
FINISHED |
| Object |
Má vlast
Má vlast is a cycle of six symphonic poems by Czech composer Bedřich Smetana that celebrates the history, landscapes, and legends of Bohemia.
|
E515803
|
NE FINISHED |
How this triple was built (4 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: [Vltava River, featuredInWork, Má vlast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Má vlast Context triple: [Vltava River, featuredInWork, Má vlast]
-
A.
Ojczyzna
Ojczyzna is a socialist realist novel by Polish writer Wanda Wasilewska, reflecting wartime patriotism and communist ideology.
-
B.
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.
-
C.
Majha
Majha is a culturally significant region of Punjab in northern India, traditionally known as the heartland of Sikh culture and history.
-
D.
Pošeň
Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
-
E.
Boží Dar
Boží Dar is a small Czech mountain town in the Ore Mountains, known as one of the highest-elevated towns in Central Europe and a popular winter sports and tourist destination.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Má vlast Triple: [Vltava River, featuredInWork, Má vlast]
Generated description
Má vlast is a cycle of six symphonic poems by Czech composer Bedřich Smetana that celebrates the history, landscapes, and legends of Bohemia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Má vlast Target entity description: Má vlast is a cycle of six symphonic poems by Czech composer Bedřich Smetana that celebrates the history, landscapes, and legends of Bohemia.
-
A.
Ojczyzna
Ojczyzna is a socialist realist novel by Polish writer Wanda Wasilewska, reflecting wartime patriotism and communist ideology.
-
B.
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.
-
C.
Majha
Majha is a culturally significant region of Punjab in northern India, traditionally known as the heartland of Sikh culture and history.
-
D.
Pošeň
Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
-
E.
Boží Dar
Boží Dar is a small Czech mountain town in the Ore Mountains, known as one of the highest-elevated towns in Central Europe and a popular winter sports and tourist destination.
- F. None of above. chosen
Provenance (5 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd8688b7488190a57baedd52a11b1a |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29307cc481908fa4d8b52711bbd4 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf29d11d2c819095ce493c8866f624 |
completed | March 21, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2aa2a1688190bc41eb5e259d7d1f |
completed | March 21, 2026, 11:32 p.m. |
Created at: March 20, 2026, 2:02 p.m.