Triple

T27037699
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Mechanical Engineering, VSB – Technical University of Ostrava E681100 entity
Predicate parentOrganization P254 FINISHED
Object Faculty of Mechanical Engineering and Technology cluster of VSB – Technical University of Ostrava
The Faculty of Mechanical Engineering and Technology cluster of VSB – Technical University of Ostrava is an academic unit that integrates mechanical engineering education and research within the broader technical university in Ostrava, Czech Republic.
 E1753503 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: Faculty of Mechanical Engineering and Technology cluster of VSB – Technical University of Ostrava | Statement: [Faculty of Mechanical Engineering, VSB – Technical University of Ostrava, parentOrganization, Faculty of Mechanical Engineering and Technology cluster of VSB – Technical University of Ostrava]
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: Faculty of Mechanical Engineering and Technology cluster of VSB – Technical University of Ostrava
Triple: [Faculty of Mechanical Engineering, VSB – Technical University of Ostrava, parentOrganization, Faculty of Mechanical Engineering and Technology cluster of VSB – Technical University of Ostrava]
Generated description
The Faculty of Mechanical Engineering and Technology cluster of VSB – Technical University of Ostrava is an academic unit that integrates mechanical engineering education and research within the broader technical university in Ostrava, Czech Republic.

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_69eeeb5566f08190813daf896fa3da04 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62269df6881908d2b4648e4b67ced completed May 2, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123ac0616c81909b8a26f72a96810f completed May 23, 2026, 11:39 p.m.
NEDg Description generation batch_6a123b3af9fc8190be498c8fc8c3799f completed May 23, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a123c1995688190a630954191d4e905 completed May 23, 2026, 11:45 p.m.
Created at: April 27, 2026, 7:16 a.m.