Triple
T16893237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rožnov Furrow |
E424227
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Rožnovská 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: Rožnovská Bečva | Statement: [Rožnov Furrow, drainedBy, Rožnovská Bečva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rožnovská Bečva Context triple: [Rožnov Furrow, drainedBy, Rožnovská Bečva]
-
A.
Býchory
Býchory is a small village in the Central Bohemian Region of the Czech Republic, known as the birthplace of conductor and composer Rafael Kubelík.
-
B.
Bečva
chosen
Bečva is a river in the eastern Czech Republic that flows through the Moravian region before joining the Morava River.
-
C.
Boskovice
Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
-
D.
Třemošná
Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc6b97c8190b18aca477d6ef647 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfca11bc8190b0835de0d56ca0b1 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:29 a.m.