Triple
T16847283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lužnice River |
E409576
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Smutná
Smutná is a minor river in the Czech Republic that serves as one of the tributaries feeding the Lužnice River.
|
E1236130
|
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: Smutná | Statement: [Lužnice River, hasTributary, Smutná]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smutná Context triple: [Lužnice River, hasTributary, Smutná]
-
A.
Blatná
Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
-
B.
Sudylkiv
Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
-
C.
Hrozný
Hrozný is a Czech surname most notably borne by Bedřich Hrozný, the linguist who deciphered the Hittite language.
-
D.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
E.
Znamianka
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
- 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: Smutná Triple: [Lužnice River, hasTributary, Smutná]
Generated description
Smutná is a minor river in the Czech Republic that serves as one of the tributaries feeding the Lužnice River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smutná Target entity description: Smutná is a minor river in the Czech Republic that serves as one of the tributaries feeding the Lužnice River.
-
A.
Blatná
Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
-
B.
Sudylkiv
Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
-
C.
Hrozný
Hrozný is a Czech surname most notably borne by Bedřich Hrozný, the linguist who deciphered the Hittite language.
-
D.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
E.
Znamianka
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b354eaf081908fe6f84a330d7866 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1d555c8190883c82e562b7bfe9 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbb628208190b0be62a333e7e442 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc3a4b888190bd190b9330e2777d |
completed | May 10, 2026, 5:11 p.m. |
Created at: April 10, 2026, 5:24 a.m.