Triple
T12216592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň-South District |
E291101
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Měčín
Měčín is a small town in the Plzeň Region of the Czech Republic.
|
E1035982
|
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: Měčín | Statement: [Plzeň-South District, containsSettlement, Měčín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Měčín Context triple: [Plzeň-South District, containsSettlement, Měčín]
-
A.
Mělník
Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
-
B.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
C.
Valašské Meziříčí
Valašské Meziříčí is a town in the Zlín Region of the Czech Republic known for its industrial heritage, cultural institutions, and location at the confluence of the Vsetínská and Rožnovská Bečva rivers.
-
D.
Bohumín
Bohumín is a town in the Moravian-Silesian Region of the Czech Republic, known as an important railway junction and industrial center near the Polish border.
-
E.
Přerov
Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
- 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: Měčín Triple: [Plzeň-South District, containsSettlement, Měčín]
Generated description
Měčín is a small town in the Plzeň Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Měčín Target entity description: Měčín is a small town in the Plzeň Region of the Czech Republic.
-
A.
Mělník
Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
-
B.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
C.
Valašské Meziříčí
Valašské Meziříčí is a town in the Zlín Region of the Czech Republic known for its industrial heritage, cultural institutions, and location at the confluence of the Vsetínská and Rožnovská Bečva rivers.
-
D.
Bohumín
Bohumín is a town in the Moravian-Silesian Region of the Czech Republic, known as an important railway junction and industrial center near the Polish border.
-
E.
Přerov
Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
- 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_69f726570a2481909f417be6e38d283a |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f726e03c4081908a0a07729eb30906 |
completed | May 3, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727d063c4819084b4990a0d759f79 |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:51 p.m.