Triple

T8862076
Position Surface form Disambiguated ID Type / Status
Subject North Moravia E210913 entity
Predicate hasRiver P165 FINISHED
Object Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
 E827173 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: Moravice | Statement: [North Moravia, hasRiver, Moravice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moravice
Context triple: [North Moravia, hasRiver, Moravice]
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • C. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • D. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • E. České Velenice
    České Velenice is a town in the South Bohemian Region of the Czech Republic known for its strategic railway junction and position directly opposite the Austrian town of Gmünd on the Czech–Austrian border.
  • 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: Moravice
Triple: [North Moravia, hasRiver, Moravice]
Generated description
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moravice
Target entity description: Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • C. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • D. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • E. České Velenice
    České Velenice is a town in the South Bohemian Region of the Czech Republic known for its strategic railway junction and position directly opposite the Austrian town of Gmünd on the Czech–Austrian border.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ea9d96ac81908115489681070bcc completed April 5, 2026, 4:52 a.m.
NEDg Description generation batch_69d1eb79be388190853e0e7c29287294 completed April 5, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d1ebf0a99081908ae0c4bceadc42bc completed April 5, 2026, 4:58 a.m.
Created at: March 30, 2026, 6:50 p.m.