Triple
T3010280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German-Czech border |
E82198
|
entity |
| Predicate | hasMajorBorderRiver |
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: [German-Czech border, hasMajorBorderRiver, Ohře]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohře Context triple: [German-Czech border, hasMajorBorderRiver, 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.
Topľa
Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
-
C.
Hořice
Hořice is a small Czech town known for its sandstone sculptures and traditional Hořice rolled wafers, located in the Hradec Králové Region.
-
D.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
E.
Šurany
Šurany is a small town in southwestern Slovakia known for its agricultural surroundings and historical roots in the Nitra 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9e11c4188190a3ae8fd0cbd8c2c0 |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6410e481909753bef34e053363 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.