Triple
T3722516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litovel |
E81669
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Hanácké Benátky
Hanácké Benátky is a Czech town nicknamed the "Venice of Haná" for its picturesque waterways and historic charm.
|
E382456
|
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: Hanácké Benátky | Statement: [Litovel, hasNickname, Hanácké Benátky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanácké Benátky Context triple: [Litovel, hasNickname, Hanácké Benátky]
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Benešov
Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
-
C.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
D.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
E.
Vrchlabí
Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
- 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: Hanácké Benátky Triple: [Litovel, hasNickname, Hanácké Benátky]
Generated description
Hanácké Benátky is a Czech town nicknamed the "Venice of Haná" for its picturesque waterways and historic charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanácké Benátky Target entity description: Hanácké Benátky is a Czech town nicknamed the "Venice of Haná" for its picturesque waterways and historic charm.
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Benešov
Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
-
C.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
D.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
E.
Vrchlabí
Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9ea1688190b3b8414d77960e8f |
completed | March 8, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce1b25088190958c427c932641e1 |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4cee2a2d88190b3a82610b6ab3488 |
completed | March 14, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cf3be5988190a049d8896e94b2b0 |
completed | March 14, 2026, 3 a.m. |
Created at: March 8, 2026, 3:34 p.m.