Triple
T12318563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klatovy District |
E293668
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Měčín |
E1035982
|
NE FINISHED |
How this triple was built (2 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: [Klatovy District, containsSettlement, Měčín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Měčín Context triple: [Klatovy District, containsSettlement, Měčín]
-
A.
Měčín
chosen
Měčín is a small town in the Plzeň Region of the Czech Republic.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ac6efe88190b48d2868443ed412 |
completed | May 3, 2026, 5:49 p.m. |
Created at: April 8, 2026, 9:53 p.m.