Triple
T16847289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lužnice River |
E409576
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Bechyně |
E716887
|
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: Bechyně | Statement: [Lužnice River, flowsThrough, Bechyně]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bechyně Context triple: [Lužnice River, flowsThrough, Bechyně]
-
A.
Bechyně
chosen
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
B.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
-
C.
Tri Studničky
Tri Studničky is a trailhead and mountain area in the High Tatras of Slovakia, known as a popular starting point for hikes up Kriváň.
-
D.
Ladomírka
Ladomírka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
-
E.
Božena
Božena is a Czech feminine given name most famously borne by the 19th-century writer Božena Němcová, a key figure in Czech literature and national revival.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b354eaf081908fe6f84a330d7866 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1d555c8190883c82e562b7bfe9 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.