Triple
T15912046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olomouc District |
E385872
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Náměšť na Hané
Náměšť na Hané is a small market town in the Haná region of the Czech Republic, known for its historic chateau and surrounding countryside.
|
E1183819
|
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: Náměšť na Hané | Statement: [Olomouc District, contains, Náměšť na Hané]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Náměšť na Hané Context triple: [Olomouc District, contains, Náměšť na Hané]
-
A.
Třemešné
Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
-
B.
Náchod
Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
-
C.
Loučka
Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
-
D.
Černá v Pošumaví
Černá v Pošumaví is a village and popular recreational area on the shores of the Lipno Reservoir in the South Bohemian Region of the Czech Republic.
-
E.
Hrádeček
Hrádeček is a small rural settlement in the Czech Republic best known as the longtime country residence and retreat of playwright and former president Václav Havel, where he also died.
- 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: Náměšť na Hané Triple: [Olomouc District, contains, Náměšť na Hané]
Generated description
Náměšť na Hané is a small market town in the Haná region of the Czech Republic, known for its historic chateau and surrounding countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Náměšť na Hané Target entity description: Náměšť na Hané is a small market town in the Haná region of the Czech Republic, known for its historic chateau and surrounding countryside.
-
A.
Třemešné
Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
-
B.
Náchod
Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
-
C.
Loučka
Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
-
D.
Černá v Pošumaví
Černá v Pošumaví is a village and popular recreational area on the shores of the Lipno Reservoir in the South Bohemian Region of the Czech Republic.
-
E.
Hrádeček
Hrádeček is a small rural settlement in the Czech Republic best known as the longtime country residence and retreat of playwright and former president Václav Havel, where he also died.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156601c988190b9bd0cd75897651b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05750ac81908860143f4ca26cc7 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.