Triple
T1138743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zlín |
E23399
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Dřevnice
Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
|
E137326
|
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: Dřevnice | Statement: [Zlín, river, Dřevnice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dřevnice Context triple: [Zlín, river, Dřevnice]
-
A.
Sezimovo Ústí
Sezimovo Ústí is a town in the South Bohemian Region of the Czech Republic, historically noted as the place where Czechoslovak president Edvard Beneš spent his final years and died.
-
B.
Orlice
Orlice is a river in the Czech Republic that flows through the city of Hradec Králové and is a tributary of the Labe (Elbe) River.
-
C.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
-
D.
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
E.
Bytča
Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
- 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: Dřevnice Triple: [Zlín, river, Dřevnice]
Generated description
Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dřevnice Target entity description: Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
-
A.
Sezimovo Ústí
Sezimovo Ústí is a town in the South Bohemian Region of the Czech Republic, historically noted as the place where Czechoslovak president Edvard Beneš spent his final years and died.
-
B.
Orlice
Orlice is a river in the Czech Republic that flows through the city of Hradec Králové and is a tributary of the Labe (Elbe) River.
-
C.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
-
D.
Pirna
Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
-
E.
Bytča
Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc25dda481909a26d726fdbdbb50 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac76405074819089f001916748b466 |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac7864c59c8190bc2fa1ac8ce633db |
completed | March 7, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac7c57dfe4819081903c188084993b |
completed | March 7, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:44 p.m.