Triple
T12216585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň-South District |
E291101
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Chlumčany
Chlumčany is a municipality and village in the Plzeň Region of the Czech Republic.
|
E973915
|
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: Chlumčany | Statement: [Plzeň-South District, containsSettlement, Chlumčany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chlumčany Context triple: [Plzeň-South District, containsSettlement, Chlumčany]
-
A.
Chrudimka
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
-
B.
Chlumec nad Cidlinou
Chlumec nad Cidlinou is a small historic town in the Hradec Králové Region of the Czech Republic, known for its baroque Karlova Koruna Chateau and location on the Cidlina River.
-
C.
Sedlčany
Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
-
D.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
E.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
- 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: Chlumčany Triple: [Plzeň-South District, containsSettlement, Chlumčany]
Generated description
Chlumčany is a municipality and village in the Plzeň Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chlumčany Target entity description: Chlumčany is a municipality and village in the Plzeň Region of the Czech Republic.
-
A.
Chrudimka
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
-
B.
Chlumec nad Cidlinou
Chlumec nad Cidlinou is a small historic town in the Hradec Králové Region of the Czech Republic, known for its baroque Karlova Koruna Chateau and location on the Cidlina River.
-
C.
Sedlčany
Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
-
D.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
E.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
- 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_69f61e5882408190b4853f3a11c249c2 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62006afcc8190b8e3b55a5fd8eaca |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:51 p.m.