Triple

T30568192
Position Surface form Disambiguated ID Type / Status
Subject University of Žilina E778044 entity
Predicate ERASMUSCode P11615 FINISHED
Object SK ZILINA01
SK ZILINA01 is the Erasmus institutional code assigned to the University of Žilina in Slovakia for participation in the Erasmus+ academic exchange program.
E1922267 NE FINISHED

How this triple was built (3 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: SK ZILINA01 | Statement: [University of Žilina, ERASMUSCode, SK ZILINA01]
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: SK ZILINA01
Triple: [University of Žilina, ERASMUSCode, SK ZILINA01]
Generated description
SK ZILINA01 is the Erasmus institutional code assigned to the University of Žilina in Slovakia for participation in the Erasmus+ academic exchange program.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ERASMUSCode
Context triple: [University of Žilina, ERASMUSCode, SK ZILINA01]
  • A. ErasmusCode chosen
    Indicates a relationship where an entity is associated with, identified by, or governed through an Erasmus-specific code or identifier.
  • B. campusCode
    Indicates the specific campus identifier associated with an entity, typically distinguishing which campus a person, program, or resource belongs to.
  • C. offersStudyAbroad
    Indicates that an institution or program provides opportunities for participants to study in a foreign country.
  • D. educationAbroadPurpose
    Indicates that an instance of education abroad is associated with a specific purpose or intended goal for undertaking that study outside one’s home country.
  • E. university2
    Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
  • F. None of above.

Provenance (6 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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f689108d448190ba08a76cfaea85ce completed May 2, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2856fdda54819090649a2625e4b713 completed June 9, 2026, 6:10 p.m.
NEDg Description generation batch_6a2858941f488190b44e942eed9a57e6 completed June 9, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a28593b6d588190ac80f643ecd8efeb completed June 9, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f67e42d6688190b60e91d2c388c555 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:21 p.m.