Triple

T9207135
Position Surface form Disambiguated ID Type / Status
Subject Moravian-Silesian Region E221010 entity
Predicate hasRiver P165 FINISHED
Object Olše
Olše is a river in the eastern Czech Republic that flows through the Moravian-Silesian Region before joining the Oder.
E785944 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: Olše | Statement: [Moravian-Silesian Region, hasRiver, Olše]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olše
Context triple: [Moravian-Silesian Region, hasRiver, Olše]
  • A. Olesno
    Olesno is a historic town in southern Poland known for its medieval origins and traditional Silesian character.
  • B. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • C. Chełmek
    Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
  • D. Malinska
    Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
  • E. Oława
    Oława is a historic town in southwestern Poland, located in Lower Silesia near Wrocław.
  • 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: Olše
Triple: [Moravian-Silesian Region, hasRiver, Olše]
Generated description
Olše is a river in the eastern Czech Republic that flows through the Moravian-Silesian Region before joining the Oder.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olše
Target entity description: Olše is a river in the eastern Czech Republic that flows through the Moravian-Silesian Region before joining the Oder.
  • A. Olesno
    Olesno is a historic town in southern Poland known for its medieval origins and traditional Silesian character.
  • B. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • C. Chełmek
    Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
  • D. Malinska
    Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
  • E. Oława
    Oława is a historic town in southwestern Poland, located in Lower Silesia near Wrocław.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e49fcc81909ddb838a8ad28c57 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.