Triple
T4456535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlovy Vary Region |
E97738
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object |
Teplá
Teplá is a river in the western Czech Republic that flows through the spa city of Karlovy Vary before joining the Ohře River.
|
E444833
|
NE FINISHED |
How this triple was built (4 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: Teplá | Statement: [Karlovy Vary Region, hasMajorRiver, Teplá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teplá Context triple: [Karlovy Vary Region, hasMajorRiver, Teplá]
-
A.
Liptovská Teplička
Liptovská Teplička is a traditional mountain village in northern Slovakia, known for its distinctive terraced potato fields and well-preserved folk architecture.
-
B.
Hořice
Hořice is a small Czech town known for its sandstone sculptures and traditional Hořice rolled wafers, located in the Hradec Králové Region.
-
C.
Mělník
Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
-
D.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
-
E.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teplá Triple: [Karlovy Vary Region, hasMajorRiver, Teplá]
Generated description
Teplá is a river in the western Czech Republic that flows through the spa city of Karlovy Vary before joining the Ohře River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teplá Target entity description: Teplá is a river in the western Czech Republic that flows through the spa city of Karlovy Vary before joining the Ohře River.
-
A.
Liptovská Teplička
Liptovská Teplička is a traditional mountain village in northern Slovakia, known for its distinctive terraced potato fields and well-preserved folk architecture.
-
B.
Hořice
Hořice is a small Czech town known for its sandstone sculptures and traditional Hořice rolled wafers, located in the Hradec Králové Region.
-
C.
Mělník
Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
-
D.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
-
E.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
- F. None of above. chosen
Provenance (5 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b66b31c9488190bc24f802fff24073 |
completed | March 15, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b66c8e50a4819083ff234d01e7f249 |
completed | March 15, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66e3b620c8190adeeadb941fde62d |
completed | March 15, 2026, 8:30 a.m. |
Created at: March 12, 2026, 11:33 p.m.