Triple
T15539133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aš |
E370428
|
entity |
| Predicate | hasAdministrativePart |
P3892
|
FINISHED |
| Object |
Vernéřov
Vernéřov is a small village that forms one of the administrative parts of the town of Aš in the Karlovy Vary Region of the Czech Republic.
|
E1162187
|
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: Vernéřov | Statement: [Aš, hasAdministrativePart, Vernéřov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vernéřov Context triple: [Aš, hasAdministrativePart, Vernéřov]
-
A.
Venyov
Venyov is a historic town in Tula Oblast, Russia, known for its role as a local administrative and cultural center.
-
B.
Novotný
Novotný is a common Czech surname borne by various notable figures in politics, arts, and sports.
-
C.
Beránek
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
-
D.
Viotá
Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
-
E.
Vamberk
Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
- 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: Vernéřov Triple: [Aš, hasAdministrativePart, Vernéřov]
Generated description
Vernéřov is a small village that forms one of the administrative parts of the town of Aš in the Karlovy Vary Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vernéřov Target entity description: Vernéřov is a small village that forms one of the administrative parts of the town of Aš in the Karlovy Vary Region of the Czech Republic.
-
A.
Venyov
Venyov is a historic town in Tula Oblast, Russia, known for its role as a local administrative and cultural center.
-
B.
Novotný
Novotný is a common Czech surname borne by various notable figures in politics, arts, and sports.
-
C.
Beránek
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
-
D.
Viotá
Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
-
E.
Vamberk
Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04430b5188190a555a3cd4fb0c61c |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d626e688190bd93481cfd6cb255 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f075bb881908c254137ca7c3f9f |
completed | May 9, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f87f788819080eccae52b0df145 |
completed | May 9, 2026, 2:07 p.m. |
Created at: April 10, 2026, 4:07 a.m.