Triple
T10168520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nymburk |
E235268
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Nymburk město |
E235268
|
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: Nymburk město | Statement: [Nymburk, hasRailwayStation, Nymburk město]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nymburk město Context triple: [Nymburk, hasRailwayStation, Nymburk město]
-
A.
Nymburk
chosen
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
-
B.
Rumburk
Rumburk is a small historic town in the northern Czech Republic, near the German border, known for its Baroque architecture and location in the Šluknov Hook region.
-
C.
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.
-
D.
Příbram
Příbram is a historic mining town in the Czech Republic known for its silver and uranium mining heritage and the Svatá Hora pilgrimage site.
-
E.
Moravské Budějovice
Moravské Budějovice is a small historic town in the Czech Republic known for its traditional architecture and regional cultural heritage.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6f64a48190883aefce58a65ca6 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300ebacb88190850cf2242309b6ba |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.