Triple
T16684137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohře Valley |
E405414
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Louny |
E416018
|
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: Louny | Statement: [Ohře Valley, contains, Louny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louny Context triple: [Ohře Valley, contains, Louny]
-
A.
Louny
chosen
Louny is a historic town in the Ústí nad Labem Region of the Czech Republic known for its medieval architecture and location in the fertile Ohře River valley.
-
B.
Chrudim
Chrudim is a historic town in the Pardubice Region of the Czech Republic, known for its well-preserved medieval center and cultural heritage.
-
C.
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.
-
D.
Chýnov
Chýnov is a small historic town in the South Bohemian Region of the Czech Republic, known for the nearby Chýnov Cave and its traditional architecture.
-
E.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e5f5988190a87b62d32bfb32fa |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:19 a.m.