Triple
T17225377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Stráský |
E418100
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stráský
Stráský is a Czech surname most notably associated with Jan Stráský, a former Czech politician and the last Prime Minister of Czechoslovakia.
|
E1257534
|
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: Stráský | Statement: [Jan Stráský, familyName, Stráský]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stráský Context triple: [Jan Stráský, familyName, Stráský]
-
A.
Strážske
Strážske is a small industrial town in eastern Slovakia known for its chemical industry and location within the Košice Region.
-
B.
Bystrá
Bystrá is a village in central Slovakia known as a gateway to the Low Tatras, popular for hiking, skiing, and access to nearby recreational areas.
-
C.
Bystrá
Bystrá is a prominent peak in the Western Tatras mountain range, known as its highest summit and a popular destination for hikers and mountaineers.
-
D.
Třemešné
Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
-
E.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
- 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: Stráský Triple: [Jan Stráský, familyName, Stráský]
Generated description
Stráský is a Czech surname most notably associated with Jan Stráský, a former Czech politician and the last Prime Minister of Czechoslovakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stráský Target entity description: Stráský is a Czech surname most notably associated with Jan Stráský, a former Czech politician and the last Prime Minister of Czechoslovakia.
-
A.
Strážske
Strážske is a small industrial town in eastern Slovakia known for its chemical industry and location within the Košice Region.
-
B.
Bystrá
Bystrá is a village in central Slovakia known as a gateway to the Low Tatras, popular for hiking, skiing, and access to nearby recreational areas.
-
C.
Bystrá
Bystrá is a prominent peak in the Western Tatras mountain range, known as its highest summit and a popular destination for hikers and mountaineers.
-
D.
Třemešné
Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
-
E.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de0a8dc819093d9c8fb4f80342c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675cc70881909cf39b2e229f5d1e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016a5f58408190b42a8da742aa2f5b |
completed | May 11, 2026, 5:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016b0e72588190b1ba2b45f0425d3d |
completed | May 11, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:38 a.m.