Triple
T15941258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otava |
E386566
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Strakonice |
E790108
|
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: Strakonice | Statement: [Otava, flowsThrough, Strakonice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strakonice Context triple: [Otava, flowsThrough, Strakonice]
-
A.
Strakonice
chosen
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
-
B.
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.
-
C.
Jablunkov
Jablunkov is a small historic town in the eastern Czech Republic, near the borders with Poland and Slovakia, known for its multicultural Silesian heritage.
-
D.
Štramberk
Štramberk is a picturesque historic town in the Czech Republic, renowned for its timbered architecture, hilltop castle ruins, and the distinctive limestone hill and cave complex nearby.
-
E.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec1091c8190a8e4c4db6180129a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:53 a.m.