Triple
T4456534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlovy Vary Region |
E97738
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object | Ohře |
E91943
|
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: Ohře | Statement: [Karlovy Vary Region, hasMajorRiver, Ohře]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohře Context triple: [Karlovy Vary Region, hasMajorRiver, Ohře]
-
A.
Ohře
chosen
The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
-
B.
Háje
Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
-
C.
Machová
Machová is a Czech surname, typically the feminine form of the surname Mach.
-
D.
Topľa
Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
-
E.
Hořice
Hořice is a small Czech town known for its sandstone sculptures and traditional Hořice rolled wafers, located in the Hradec Králové Region.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6282743e08190a2c84f3b80c6d260 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.