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.