Triple
T3869302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohře |
E91943
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Litoměřice |
E372303
|
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: Litoměřice | Statement: [Ohře, flowsThrough, Litoměřice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Litoměřice Context triple: [Ohře, flowsThrough, Litoměřice]
-
A.
Litoměřice
chosen
Litoměřice is a historic town in the Ústí nad Labem Region of the Czech Republic, known for its well-preserved architecture and location at the confluence of the Elbe and Ohře rivers.
-
B.
Jihlava
Jihlava is a historic city in the Czech Republic, known as one of the country’s oldest mining towns and a regional cultural and administrative center.
-
C.
Plzeň
Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
-
D.
České Budějovice
České Budějovice is a historic city in the Czech Republic known for its medieval architecture and as the original home of Budweiser Budvar beer.
-
E.
Olomouc
Olomouc is a historic city in the eastern Czech Republic known for its well-preserved old town, Baroque architecture, and UNESCO-listed Holy Trinity Column.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec533828819080f52dae15fdbecd |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f0ebb588190bb7a935e066f9e4b |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:20 p.m.