Triple

T4638049
Position Surface form Disambiguated ID Type / Status
Subject Morava E101581 entity
Predicate hasTributary P415 FINISHED
Object Bečva
Bečva is a river in the eastern Czech Republic that flows through the Moravian region before joining the Morava River.
 E456734 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: Bečva | Statement: [Morava, hasTributary, Bečva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bečva
Context triple: [Morava, hasTributary, Bečva]
  • A. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • B. Běloves
    Běloves is a district or locality within the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • C. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • D. Bílina
    Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
  • 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: Bečva
Triple: [Morava, hasTributary, Bečva]
Generated description
Bečva is a river in the eastern Czech Republic that flows through the Moravian region before joining the Morava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bečva
Target entity description: Bečva is a river in the eastern Czech Republic that flows through the Moravian region before joining the Morava River.
  • A. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • B. Běloves
    Běloves is a district or locality within the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • C. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • D. Bílina
    Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a64214481908a207e8070cc7a45 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacf3cb08190a080e5ed1063902f completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb70b9d48190a32c5cc753c45aab completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc54e194819080b1eb5b9f0dfe9e completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:13 p.m.