Triple
T14089879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Úpa River |
E339098
|
entity |
| Predicate | hasMajorTownOnBank |
P14916
|
FINISHED |
| Object | Česká Skalice |
E251627
|
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: Česká Skalice | Statement: [Úpa River, hasMajorTownOnBank, Česká Skalice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Česká Skalice Context triple: [Úpa River, hasMajorTownOnBank, Česká Skalice]
-
A.
Česká Skalice
chosen
Česká Skalice is a small historic town in northeastern Bohemia in the Czech Republic, known for its cultural heritage and proximity to the Rozkoš Reservoir.
-
B.
Stříbrná Skalice
Stříbrná Skalice is a small market town in the Central Bohemian Region of the Czech Republic, known for its scenic setting, historical silver mining, and preserved rural character.
-
C.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
D.
Kralupy nad Vltavou
Kralupy nad Vltavou is a town in the Czech Republic situated on the Vltava River, known for its chemical industry and role as a regional transport hub.
-
E.
Schlettau
Schlettau is a small locality in the town of Wettin-Löbejün in the German state of Saxony-Anhalt.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf006f7481909149779de4d7cd2e |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.