Triple
T5055058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Clement Mary Hofbauer |
E113880
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Tasovice
Tasovice is a village in the Czech Republic known as the birthplace of the Redemptorist priest and saint Clement Mary Hofbauer.
|
E490589
|
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: Tasovice | Statement: [Saint Clement Mary Hofbauer, placeOfBirth, Tasovice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tasovice Context triple: [Saint Clement Mary Hofbauer, placeOfBirth, Tasovice]
-
A.
Blovice
Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
-
B.
Jizbice
Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
C.
Ostravice
Ostravice is a river in the Czech Republic that flows through the Moravian-Silesian region and gives its name to the town of Ostravice and partly to the city of Ostrava.
-
D.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
-
E.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
- 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: Tasovice Triple: [Saint Clement Mary Hofbauer, placeOfBirth, Tasovice]
Generated description
Tasovice is a village in the Czech Republic known as the birthplace of the Redemptorist priest and saint Clement Mary Hofbauer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tasovice Target entity description: Tasovice is a village in the Czech Republic known as the birthplace of the Redemptorist priest and saint Clement Mary Hofbauer.
-
A.
Blovice
Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
-
B.
Jizbice
Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
C.
Ostravice
Ostravice is a river in the Czech Republic that flows through the Moravian-Silesian region and gives its name to the town of Ostravice and partly to the city of Ostrava.
-
D.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
-
E.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd744ccb888190a8a0ddd7c4d62f35 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea489eb4c8190ad3a5480b909ef70 |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea71808cc8190934d2ce1f5b6f30b |
completed | March 21, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea7c7014881909edef5562f6c8a6d |
completed | March 21, 2026, 2:14 p.m. |
Created at: March 20, 2026, 1:38 p.m.