Triple
T4797647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Úhlava |
E106750
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Úslava (indirectly via Radbuza system) |
E106751
|
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: Úslava (indirectly via Radbuza system) | Statement: [Úhlava, hasTributary, Úslava (indirectly via Radbuza system)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Úslava (indirectly via Radbuza system) Context triple: [Úhlava, hasTributary, Úslava (indirectly via Radbuza system)]
-
A.
Úslava
chosen
Úslava is a river in the western Czech Republic that flows through the city of Plzeň and forms part of its local river system.
-
B.
Radbuza
Radbuza is a river in the Czech Republic that flows through western Bohemia and is one of the main rivers running through the city of Plzeň.
-
C.
Uzerche
Uzerche is a historic hilltop town in central France known for its well-preserved medieval architecture and scenic setting above the Vézère River.
-
D.
Banski Suhodol
Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
-
E.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43f8d9548190857910be4ffc2711 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.