Triple
T4474083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Náchod |
E98563
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Jizbice
Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
|
E443490
|
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: Jizbice | Statement: [Náchod, hasSubdivision, Jizbice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jizbice Context triple: [Náchod, hasSubdivision, Jizbice]
-
A.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
B.
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.
-
C.
Blovice
Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
-
D.
Ruzyně
Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
-
E.
Sušice
Sušice is a town in the Czech Republic known as a local administrative, cultural, and tourist center in the southwestern Plzeň Region.
- 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: Jizbice Triple: [Náchod, hasSubdivision, Jizbice]
Generated description
Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jizbice Target entity description: Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
A.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
B.
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.
-
C.
Blovice
Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
-
D.
Ruzyně
Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
-
E.
Sušice
Sušice is a town in the Czech Republic known as a local administrative, cultural, and tourist center in the southwestern Plzeň Region.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356bb03f48190a2addcd49c9e470d |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63776ae008190a7668cddf1a42df3 |
completed | March 15, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69b63823c30c8190af727acae00da9d3 |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638a398f88190bd0f041e9494aeba |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 12, 2026, 11:35 p.m.