Triple
T12216591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň-South District |
E291101
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Žinkovy
Žinkovy is a small town in the Plzeň Region of the Czech Republic, known for its historic chateau and surrounding ponds.
|
E970541
|
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: Žinkovy | Statement: [Plzeň-South District, containsSettlement, Žinkovy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Žinkovy Context triple: [Plzeň-South District, containsSettlement, Žinkovy]
-
A.
Tato
Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
-
B.
Mže
Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
-
C.
Husák
Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
-
D.
Zinovy
Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
E.
Vráble
Vráble is a small town in western Slovakia known for its agricultural surroundings and location near the city of Nitra.
- 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: Žinkovy Triple: [Plzeň-South District, containsSettlement, Žinkovy]
Generated description
Žinkovy is a small town in the Plzeň Region of the Czech Republic, known for its historic chateau and surrounding ponds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Žinkovy Target entity description: Žinkovy is a small town in the Plzeň Region of the Czech Republic, known for its historic chateau and surrounding ponds.
-
A.
Tato
Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
-
B.
Mže
Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
-
C.
Husák
Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
-
D.
Zinovy
Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
E.
Vráble
Vráble is a small town in western Slovakia known for its agricultural surroundings and location near the city of Nitra.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c9419d48190b0037fe8edc681c4 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa31f548190bd4f8cfe3c55614b |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60dbe4f788190a3b4be4b31cfbffa |
completed | May 2, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60ee037bc8190be486e30e03031a7 |
completed | May 2, 2026, 2:49 p.m. |
Created at: April 8, 2026, 9:51 p.m.