Triple
T12595065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin |
E300710
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Valašské Meziříčí |
E448059
|
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: Valašské Meziříčí | Statement: [Martin, twinTown, Valašské Meziříčí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valašské Meziříčí Context triple: [Martin, twinTown, Valašské Meziříčí]
-
A.
Valašské Meziříčí
chosen
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.
-
B.
Velké Meziříčí
Velké Meziříčí is a historic town in the Czech Republic known for its medieval center and location at the confluence of the Oslava and Balinka 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.
Havlíčkův Brod
Havlíčkův Brod is a historic town in the Vysočina Region of the Czech Republic, situated on the Sázava River and known for its medieval center and long-standing brewing tradition.
-
E.
Měčín
Měčín is a small town in the Plzeň Region of the Czech Republic.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cde3c0819094e74413d6dcf548 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc30fba90819096ea71152ed725e1 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 5:08 p.m.