Triple
T15856817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwigsburg |
E384479
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Nový Jičín |
E848361
|
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: Nový Jičín | Statement: [Ludwigsburg, twinTown, Nový Jičín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nový Jičín Context triple: [Ludwigsburg, twinTown, Nový Jičín]
-
A.
Nový Jičín
chosen
Nový Jičín is a historic town in the Moravian-Silesian Region of the Czech Republic, known for its well-preserved Renaissance square and hat-making tradition.
-
B.
Jičín
Jičín is a historic town in the Czech Republic known for its well-preserved medieval center and association with the fairy-tale character Rumcajs.
-
C.
Havířov
Havířov is an industrial city in the Moravian-Silesian Region of the Czech Republic, known as one of the country’s youngest cities and a post-war planned urban center.
-
D.
Moravské Budějovice
Moravské Budějovice is a small historic town in the Czech Republic known for its traditional architecture and regional cultural heritage.
-
E.
Jindřichův Hradec
Jindřichův Hradec is a historic Czech town known for its well-preserved Renaissance architecture and one of the largest castle complexes in the country.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cb08bd081908af2120eb2925441 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7924b148190a470f86d5ca8882c |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:50 a.m.