Triple
T16199789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prague commuter rail |
E393166
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Kralupy nad Vltavou |
E214187
|
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: Kralupy nad Vltavou | Statement: [Prague commuter rail, connectsTo, Kralupy nad Vltavou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kralupy nad Vltavou Context triple: [Prague commuter rail, connectsTo, Kralupy nad Vltavou]
-
A.
Kralupy nad Vltavou
chosen
Kralupy nad Vltavou is a town in the Czech Republic situated on the Vltava River, known for its chemical industry and role as a regional transport hub.
-
B.
Rokycany
Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
-
C.
Kladruby
Kladruby is a small town in the Plzeň Region of the Czech Republic, known for its historic Benedictine monastery and picturesque rural setting.
-
D.
Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
-
E.
Žamberk
Žamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its picturesque setting in the Orlické Foothills and well-preserved architecture.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222de2db481908471b9c73d444607 |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ecf454081909660f4ab9c556ddc |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.