Triple

T25251023
Position Surface form Disambiguated ID Type / Status
Subject Çanakkale Onsekiz Mart University E632740 entity
Predicate hasVocationalSchool P3445 FINISHED
Object Ezine Vocational School
Ezine Vocational School is a vocational higher education institution affiliated with Çanakkale Onsekiz Mart University in Turkey, offering practical, career-oriented programs.
E1672473 NE FINISHED

How this triple was built (2 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: Ezine Vocational School | Statement: [Çanakkale Onsekiz Mart University, hasVocationalSchool, Ezine Vocational School]
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: Ezine Vocational School
Triple: [Çanakkale Onsekiz Mart University, hasVocationalSchool, Ezine Vocational School]
Generated description
Ezine Vocational School is a vocational higher education institution affiliated with Çanakkale Onsekiz Mart University in Turkey, offering practical, career-oriented programs.

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_69e75a8fdd3881909ba0b05aa5da92a7 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4808b8ab08190b48cca8408c88bdf completed May 1, 2026, 10:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067ed6b408190861abb62144a50f5 completed May 22, 2026, 2:27 p.m.
NEDg Description generation batch_6a1068ad981081908f324aa1d7cc5bb2 completed May 22, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_6a106a0c2d7881908ca2ada25da19784 completed May 22, 2026, 2:37 p.m.
Created at: April 21, 2026, 1:11 p.m.