Triple

T13039945
Position Surface form Disambiguated ID Type / Status
Subject Kopřivnice E327165 entity
Predicate hasSubdivision P747 FINISHED
Object Lubina
Lubina is a village and administrative part of the town of Kopřivnice in the Moravian-Silesian Region of the Czech Republic.
 E1017199 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: Lubina | Statement: [Kopřivnice, hasSubdivision, Lubina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lubina
Context triple: [Kopřivnice, hasSubdivision, Lubina]
  • A. Labuha
    Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
  • B. Licab
    Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
  • C. Bubión
    Bubión is a small, picturesque village in Spain’s Alpujarras region, known for its traditional whitewashed houses and scenic setting on the southern slopes of the Sierra Nevada.
  • D. Gambón
    Gambón is a Spanish surname, most notably associated with individuals of Iberian origin and sometimes used as a variant spelling of similar family names.
  • E. Carnaza
    Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
  • 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: Lubina
Triple: [Kopřivnice, hasSubdivision, Lubina]
Generated description
Lubina is a village and administrative part of the town of Kopřivnice in the Moravian-Silesian Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lubina
Target entity description: Lubina is a village and administrative part of the town of Kopřivnice in the Moravian-Silesian Region of the Czech Republic.
  • A. Labuha
    Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
  • B. Licab
    Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
  • C. Bubión
    Bubión is a small, picturesque village in Spain’s Alpujarras region, known for its traditional whitewashed houses and scenic setting on the southern slopes of the Sierra Nevada.
  • D. Gambón
    Gambón is a Spanish surname, most notably associated with individuals of Iberian origin and sometimes used as a variant spelling of similar family names.
  • E. Carnaza
    Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0d21e08190855dcbee000fc25d completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce6b220c8190b1f49a9b2bfce692 completed May 3, 2026, 4:26 a.m.
Created at: April 9, 2026, 8:55 p.m.