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.