Triple
T16089717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hlavní nádraží |
E390328
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Josef Fanta
Josef Fanta was a prominent Czech architect of the late 19th and early 20th centuries, best known for his Art Nouveau designs in Prague.
|
E1192873
|
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: Josef Fanta | Statement: [Hlavní nádraží, architect, Josef Fanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josef Fanta Context triple: [Hlavní nádraží, architect, Josef Fanta]
-
A.
Ignatz Bubis
Ignatz Bubis was a prominent German-Jewish leader and businessman who served as head of the Central Council of Jews in Germany and became a key public voice on Jewish life, remembrance of the Holocaust, and combating antisemitism in postwar Germany.
-
B.
Josef Groll
Josef Groll was a 19th-century Bavarian brewer best known for creating the world’s first pale lager, giving rise to the Pilsner style of beer.
-
C.
Max Fabian
Max Fabian is a fictional character from the 1950 film "Aged in Wood."
-
D.
Franz Roubal
Franz Roubal was a mountaineer known for making the first recorded ascent of the Polish peak Wielki Giewont.
-
E.
Arthur Franz
Arthur Franz was an American film and television actor active in the mid-20th century, known for his roles in science fiction and war movies.
- 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: Josef Fanta Triple: [Hlavní nádraží, architect, Josef Fanta]
Generated description
Josef Fanta was a prominent Czech architect of the late 19th and early 20th centuries, best known for his Art Nouveau designs in Prague.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josef Fanta Target entity description: Josef Fanta was a prominent Czech architect of the late 19th and early 20th centuries, best known for his Art Nouveau designs in Prague.
-
A.
Ignatz Bubis
Ignatz Bubis was a prominent German-Jewish leader and businessman who served as head of the Central Council of Jews in Germany and became a key public voice on Jewish life, remembrance of the Holocaust, and combating antisemitism in postwar Germany.
-
B.
Josef Groll
Josef Groll was a 19th-century Bavarian brewer best known for creating the world’s first pale lager, giving rise to the Pilsner style of beer.
-
C.
Max Fabian
Max Fabian is a fictional character from the 1950 film "Aged in Wood."
-
D.
Franz Roubal
Franz Roubal was a mountaineer known for making the first recorded ascent of the Polish peak Wielki Giewont.
-
E.
Arthur Franz
Arthur Franz was an American film and television actor active in the mid-20th century, known for his roles in science fiction and war movies.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1845161908190adca2af94710b2cc |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe490d494819081f812811f032702 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe63f757c81908c7dc3c5ae3075c6 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:59 a.m.