Triple
T9412574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | František Kupka |
E226738
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Opočno
Opočno is a historic town in the Hradec Králové Region of the Czech Republic, known for its Renaissance chateau and as the birthplace of painter František Kupka.
|
E797438
|
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: Opočno | Statement: [František Kupka, placeOfBirth, Opočno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opočno Context triple: [František Kupka, placeOfBirth, Opočno]
-
A.
Slovenj Gradec
Slovenj Gradec is a historic town in northern Slovenia known for its cultural heritage and picturesque Alpine surroundings.
-
B.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
C.
Brnik
Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
-
D.
Radeče
Radeče is a small town in central Slovenia, situated on the banks of the Sava River and known for its paper industry and scenic surroundings.
-
E.
Kladno
Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
- 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: Opočno Triple: [František Kupka, placeOfBirth, Opočno]
Generated description
Opočno is a historic town in the Hradec Králové Region of the Czech Republic, known for its Renaissance chateau and as the birthplace of painter František Kupka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opočno Target entity description: Opočno is a historic town in the Hradec Králové Region of the Czech Republic, known for its Renaissance chateau and as the birthplace of painter František Kupka.
-
A.
Slovenj Gradec
Slovenj Gradec is a historic town in northern Slovenia known for its cultural heritage and picturesque Alpine surroundings.
-
B.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
C.
Brnik
Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
-
D.
Radeče
Radeče is a small town in central Slovenia, situated on the banks of the Sava River and known for its paper industry and scenic surroundings.
-
E.
Kladno
Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5258f7e081908d48600409181fdb |
completed | April 1, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b0f9648190894a4cd13d7e5fb5 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108466fb481909682fcaac354b312 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.