Triple

T9827233
Position Surface form Disambiguated ID Type / Status
Subject Ikonen-Museum Frankfurt E238686 entity
Predicate hasCollection P426 FINISHED
Object engolpia
Engolpia are small, often ornate pectoral icons or reliquary medallions traditionally worn by Eastern Christian clergy as a sign of office and devotion.
 E823018 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: engolpia | Statement: [Ikonen-Museum Frankfurt, hasCollection, engolpia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: engolpia
Context triple: [Ikonen-Museum Frankfurt, hasCollection, engolpia]
  • A. Engrampa
    Engrampa is the archive manager application for the MATE desktop environment, used to create, modify, and extract compressed file archives.
  • B. Enkarterri
    Enkarterri is a historical comarca in the western part of Biscay in the Basque Country, northern Spain, known for its rural landscapes and industrial heritage.
  • C. En
    En is the Romansh name for the Inn River, a major Alpine river flowing through Switzerland, Austria, and Germany.
  • D. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • E. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • 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: engolpia
Triple: [Ikonen-Museum Frankfurt, hasCollection, engolpia]
Generated description
Engolpia are small, often ornate pectoral icons or reliquary medallions traditionally worn by Eastern Christian clergy as a sign of office and devotion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: engolpia
Target entity description: Engolpia are small, often ornate pectoral icons or reliquary medallions traditionally worn by Eastern Christian clergy as a sign of office and devotion.
  • A. Engrampa
    Engrampa is the archive manager application for the MATE desktop environment, used to create, modify, and extract compressed file archives.
  • B. Enkarterri
    Enkarterri is a historical comarca in the western part of Biscay in the Basque Country, northern Spain, known for its rural landscapes and industrial heritage.
  • C. En
    En is the Romansh name for the Inn River, a major Alpine river flowing through Switzerland, Austria, and Germany.
  • D. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • E. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb324e7848190b9424a78ca653afe completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc88a86c819088f259a049eec4db completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cdba64d08190bf0b83d419c4461b completed April 5, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69d1ce526a2c819098b103ad83c19445 completed April 5, 2026, 2:52 a.m.
Created at: March 30, 2026, 8:32 p.m.