Triple
T23306824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bečva River |
E590467
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Lipník nad Bečvou |
—
|
NE NERFINISHED |
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: Lipník nad Bečvou | Statement: [Bečva River, flowsThrough, Lipník nad Bečvou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipník nad Bečvou Context triple: [Bečva River, flowsThrough, Lipník nad Bečvou]
-
A.
Lipník nad Bečvou
chosen
Lipník nad Bečvou is a historic town in the Olomouc Region of the Czech Republic, known for its well-preserved Renaissance center and location on the Bečva River.
-
B.
Lipnice nad Sázavou
Lipnice nad Sázavou is a historic market town in the Vysočina Region of the Czech Republic, known for its medieval castle and its association with writer Jaroslav Hašek.
-
C.
Libeň
Libeň is a district in Prague known for its mix of residential areas, industrial heritage, and major venues such as the O2 Arena.
-
D.
Zličín
Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
-
E.
Hroznětín
Hroznětín is a small historic town in the Karlovy Vary Region of the Czech Republic, known for its location near the Ore Mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972846fc819092ca2b9590b2e177 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.