Triple
T2269556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hradec Králové Region |
E50624
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kostelec nad Orlicí
Kostelec nad Orlicí is a small Czech town in eastern Bohemia known for its historic chateau and picturesque setting on the Divoká Orlice River.
|
E251625
|
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: Kostelec nad Orlicí | Statement: [Hradec Králové Region, contains, Kostelec nad Orlicí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kostelec nad Orlicí Context triple: [Hradec Králové Region, contains, Kostelec nad Orlicí]
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
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.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
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.
-
E.
Hořovice
Hořovice is a small Czech town known for its historic chateau and location in the western part of the Central Bohemian 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: Kostelec nad Orlicí Triple: [Hradec Králové Region, contains, Kostelec nad Orlicí]
Generated description
Kostelec nad Orlicí is a small Czech town in eastern Bohemia known for its historic chateau and picturesque setting on the Divoká Orlice River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kostelec nad Orlicí Target entity description: Kostelec nad Orlicí is a small Czech town in eastern Bohemia known for its historic chateau and picturesque setting on the Divoká Orlice River.
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
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.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
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.
-
E.
Hořovice
Hořovice is a small Czech town known for its historic chateau and location in the western part of the Central Bohemian 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1bd376c8190a43decde599f62e6 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d97a108190a26ffd20fac91a7e |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae73a4bdd08190bb9fff64ffdbeed6 |
completed | March 9, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae776fdfb48190ae8731002c537458 |
completed | March 9, 2026, 7:32 a.m. |
Created at: March 4, 2026, 7:48 p.m.