Triple
T20053166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pezinok District |
E499255
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Doľany
Doľany is a village and municipality in western Slovakia, known for its wine-growing tradition and scenic location in the Little Carpathians.
|
E1408864
|
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: [Pezinok District, containsMunicipality, Doľany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doľany Context triple: [Pezinok District, containsMunicipality, Doľany]
-
A.
Doľany
Doľany is a village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
-
B.
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.
-
C.
Zálesie
Zálesie is a small village and municipality in western Slovakia, situated in the Bratislava Region’s Senec District.
-
D.
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.
-
E.
Rovenky
Rovenky is an industrial city in eastern Ukraine known for its coal mining and location within the Donbas 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: Doľany Triple: [Pezinok District, containsMunicipality, Doľany]
Generated description
Doľany is a village and municipality in western Slovakia, known for its wine-growing tradition and scenic location in the Little Carpathians.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doľany Target entity description: Doľany is a village and municipality in western Slovakia, known for its wine-growing tradition and scenic location in the Little Carpathians.
-
A.
Doľany
Doľany is a village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
-
B.
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.
-
C.
Zálesie
Zálesie is a small village and municipality in western Slovakia, situated in the Bratislava Region’s Senec District.
-
D.
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.
-
E.
Rovenky
Rovenky is an industrial city in eastern Ukraine known for its coal mining and location within the Donbas 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6633043a481908359ad232607182a |
completed | April 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08160a013c81908ef326ebb9140803 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816d3c71081909138d3144a108266 |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081798cb48819084ab456f79b68eb9 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:38 p.m.