Triple
T16206128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tábor District |
E393331
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vlkov
Vlkov is a small village in the South Bohemian Region of the Czech Republic, known for its rural character and scenic surroundings.
|
E1201284
|
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: Vlkov | Statement: [Tábor District, contains, Vlkov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlkov Context triple: [Tábor District, contains, Vlkov]
-
A.
Vlkolínec
Vlkolínec is a remarkably well-preserved UNESCO-listed Slovak mountain village known for its traditional wooden architecture and folk heritage.
-
B.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
-
C.
Vlčovice
Vlčovice is a village and administrative part of the town of Kopřivnice in the Moravian-Silesian Region of the Czech Republic.
-
D.
Barvinkove
Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
-
E.
Kácov
Kácov is a small Czech village and popular recreational spot in Central Bohemia, known for its scenic setting amid forests and hills and its historic brewery.
- 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: Vlkov Triple: [Tábor District, contains, Vlkov]
Generated description
Vlkov is a small village in the South Bohemian Region of the Czech Republic, known for its rural character and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vlkov Target entity description: Vlkov is a small village in the South Bohemian Region of the Czech Republic, known for its rural character and scenic surroundings.
-
A.
Vlkolínec
Vlkolínec is a remarkably well-preserved UNESCO-listed Slovak mountain village known for its traditional wooden architecture and folk heritage.
-
B.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
-
C.
Vlčovice
Vlčovice is a village and administrative part of the town of Kopřivnice in the Moravian-Silesian Region of the Czech Republic.
-
D.
Barvinkove
Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
-
E.
Kácov
Kácov is a small Czech village and popular recreational spot in Central Bohemia, known for its scenic setting amid forests and hills and its historic brewery.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270f047c819084645da27759a3d2 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078fa2ac8190a0a2cf38bc41498d |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000900bfbc8190b21eb513838759a9 |
completed | May 10, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a0fc93c819088d9233aaa5e2017 |
completed | May 10, 2026, 4:31 a.m. |
Created at: April 10, 2026, 5:03 a.m.