Triple

T17800798
Position Surface form Disambiguated ID Type / Status
Subject Litava River E444418 entity
Predicate hasNameInLanguage P15 FINISHED
Object Litava
Litava is a river known locally by this name, flowing through parts of Central Europe and contributing to the region’s natural landscape and waterways.
 E1320522 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: Litava | Statement: [Litava River, hasNameInLanguage, Litava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Litava
Context triple: [Litava River, hasNameInLanguage, Litava]
  • A. Litavka
    Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
  • B. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • C. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • D. Dubienka
    Dubienka is a village in eastern Poland near the Bug River, historically notable as the site of the 1792 Battle of Dubienka during the Polish–Russian War.
  • E. Klabava
    Klabava is a river in the Plzeň Region of the Czech Republic that flows through the Rokycany District and serves as a tributary of the Berounka River.
  • 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: Litava
Triple: [Litava River, hasNameInLanguage, Litava]
Generated description
Litava is a river known locally by this name, flowing through parts of Central Europe and contributing to the region’s natural landscape and waterways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Litava
Target entity description: Litava is a river known locally by this name, flowing through parts of Central Europe and contributing to the region’s natural landscape and waterways.
  • A. Litavka
    Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
  • B. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • C. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • D. Dubienka
    Dubienka is a village in eastern Poland near the Bug River, historically notable as the site of the 1792 Battle of Dubienka during the Polish–Russian War.
  • E. Klabava
    Klabava is a river in the Plzeň Region of the Czech Republic that flows through the Rokycany District and serves as a tributary of the Berounka River.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487ff42108190b82ceb4466aa2dff completed April 19, 2026, 7:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03d75d41b08190809bddf1f31707d2 completed May 13, 2026, 1:43 a.m.
NEDg Description generation batch_6a03d7f2166881908068f21bdc4e32ba completed May 13, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a03d862b9dc81909ac8ca5048c51b9c completed May 13, 2026, 1:48 a.m.
Created at: April 10, 2026, 10:13 a.m.