Triple

T10931677
Position Surface form Disambiguated ID Type / Status
Subject Rychnov nad Kněžnou District E258221 entity
Predicate contains P35 FINISHED
Object Solnice
Solnice is a small town in the Hradec Králové Region of the Czech Republic, known for its industrial facilities and proximity to the Orlické Mountains.
 E893456 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: Solnice | Statement: [Rychnov nad Kněžnou District, contains, Solnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Solnice
Context triple: [Rychnov nad Kněžnou District, contains, Solnice]
  • A. Slunečná
    Slunečná is the highest peak of the Nízký Jeseník mountain range in the Czech Republic.
  • B. Soline
    Soline is a small coastal village on the Croatian island of Krk, known for its tranquil bays and Adriatic seaside setting.
  • C. Sun
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • D. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • E. Sun
    Sun is a common Chinese surname borne by numerous historical figures, including emperors, generals, and scholars.
  • 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: Solnice
Triple: [Rychnov nad Kněžnou District, contains, Solnice]
Generated description
Solnice is a small town in the Hradec Králové Region of the Czech Republic, known for its industrial facilities and proximity to the Orlické Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Solnice
Target entity description: Solnice is a small town in the Hradec Králové Region of the Czech Republic, known for its industrial facilities and proximity to the Orlické Mountains.
  • A. Slunečná
    Slunečná is the highest peak of the Nízký Jeseník mountain range in the Czech Republic.
  • B. Soline
    Soline is a small coastal village on the Croatian island of Krk, known for its tranquil bays and Adriatic seaside setting.
  • C. Sun
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • D. Sun
    Sun is a common Chinese surname borne by numerous historical figures, including emperors, generals, and scholars.
  • E. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21e54e22881908726f088643edfd2 completed April 17, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69e21f1134d0819082fcc735da61d347 completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:23 p.m.