Triple

T9031326
Position Surface form Disambiguated ID Type / Status
Subject Berlin University of the Arts E216378 entity
Predicate memberOf P10 FINISHED
Object ELIA
ELIA is an international network that connects higher arts education institutions across Europe to foster collaboration, advocacy, and innovation in the arts.
 E772558 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: ELIA | Statement: [Berlin University of the Arts, memberOf, ELIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ELIA
Context triple: [Berlin University of the Arts, memberOf, ELIA]
  • A. Elia
    Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
  • B. Elis
    Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • C. Ela
    Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
  • D. Elia Hill
    Elia Hill is a prominent elevation in Tbilisi, Georgia, known as the site of the landmark Holy Trinity (Sameba) Cathedral overlooking the city.
  • E. Elissa
    Elissa, also known as Dido, is the legendary Phoenician princess who founded the ancient city of Carthage and became its first queen.
  • 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: ELIA
Triple: [Berlin University of the Arts, memberOf, ELIA]
Generated description
ELIA is an international network that connects higher arts education institutions across Europe to foster collaboration, advocacy, and innovation in the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ELIA
Target entity description: ELIA is an international network that connects higher arts education institutions across Europe to foster collaboration, advocacy, and innovation in the arts.
  • A. Elia
    Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
  • B. Elis
    Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • C. Ela
    Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
  • D. Elia Hill
    Elia Hill is a prominent elevation in Tbilisi, Georgia, known as the site of the landmark Holy Trinity (Sameba) Cathedral overlooking the city.
  • E. Elissa
    Elissa, also known as Dido, is the legendary Phoenician princess who founded the ancient city of Carthage and became its first queen.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6a9f2c7481909b4a272183f20585 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc662208190a3f4e6e593208c5c completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdceaa44c81909384939d651b9a61 completed April 3, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd75761c8190b17f97184ae07810 completed April 3, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:08 p.m.