Triple
T16686123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levoča District |
E405465
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Doľany
Doľany is a village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
|
E1227485
|
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: Doľany | Statement: [Levoča District, contains, Doľany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doľany Context triple: [Levoča District, contains, Doľany]
-
A.
Dôle
Dôle is a traditional Swiss red wine blend from the Valais region, typically made from Pinot Noir and Gamay grapes and known for its fruity, approachable character.
-
B.
Vodňany
Vodňany is a small historic town in the South Bohemian Region of the Czech Republic, known for its traditional fishpond farming and picturesque rural character.
-
C.
Rovenky
Rovenky is an industrial city in eastern Ukraine known for its coal mining and location within the Donbas region.
-
D.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
-
E.
Borohrádek
Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
- 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: Doľany Triple: [Levoča District, contains, Doľany]
Generated description
Doľany is a village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doľany Target entity description: Doľany is a village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
-
A.
Dôle
Dôle is a traditional Swiss red wine blend from the Valais region, typically made from Pinot Noir and Gamay grapes and known for its fruity, approachable character.
-
B.
Vodňany
Vodňany is a small historic town in the South Bohemian Region of the Czech Republic, known for its traditional fishpond farming and picturesque rural character.
-
C.
Rovenky
Rovenky is an industrial city in eastern Ukraine known for its coal mining and location within the Donbas region.
-
D.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
-
E.
Borohrádek
Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008ba8227881908b1ac6e30d2e7c32 |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:19 a.m.