Triple
T12861782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bytča District |
E307611
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Maršová-Rašov
Maršová-Rašov is a small village and municipality located in northern Slovakia.
|
E1007161
|
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: Maršová-Rašov | Statement: [Bytča District, hasMunicipality, Maršová-Rašov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maršová-Rašov Context triple: [Bytča District, hasMunicipality, Maršová-Rašov]
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
C.
Třemošná
Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
-
D.
Hašková
Hašková is the feminine form of the Czech surname Hašek, commonly used for women in Czech-speaking contexts.
-
E.
Boskovice
Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
- 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: Maršová-Rašov Triple: [Bytča District, hasMunicipality, Maršová-Rašov]
Generated description
Maršová-Rašov is a small village and municipality located in northern Slovakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maršová-Rašov Target entity description: Maršová-Rašov is a small village and municipality located in northern Slovakia.
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
C.
Třemošná
Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
-
D.
Hašková
Hašková is the feminine form of the Czech surname Hašek, commonly used for women in Czech-speaking contexts.
-
E.
Boskovice
Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708ba74881909b16c1e2ef5115db |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bade6ec81908e3123b96837f104 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69dad1f9c8190b48c40f49dbd396d |
completed | May 3, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69e5fd19c819082f9fe0d26c56c9a |
completed | May 3, 2026, 1:01 a.m. |
Created at: April 9, 2026, 5:37 p.m.