Triple
T10171274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March |
E235334
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Bečva |
E456734
|
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: Bečva | Statement: [March, hasTributary, Bečva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bečva Context triple: [March, hasTributary, Bečva]
-
A.
Bečva
chosen
Bečva is a river in the eastern Czech Republic that flows through the Moravian region before joining the Morava River.
-
B.
Blšanka
Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
-
C.
Běloves
Běloves is a district or locality within the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
D.
Bregava
Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
-
E.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9e4e0c819097dceb7bf7757948 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d30101e3ec819095a587c0dae55f71 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.