Triple

T30015501
Position Surface form Disambiguated ID Type / Status
Subject Åbo Akademi University E762583 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Science and Engineering
The Faculty of Science and Engineering is a division of Åbo Akademi University that focuses on education and research in natural sciences, technology, and related engineering disciplines.
 E762576 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 Science and Engineering | Statement: [Åbo Akademi University, hasFaculty, Faculty of Science and Engineering]
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 Science and Engineering
Triple: [Åbo Akademi University, hasFaculty, Faculty of Science and Engineering]
Generated description
The Faculty of Science and Engineering is a division of Åbo Akademi University that focuses on education and research in natural sciences, technology, and related engineering disciplines.

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_69f2246b0c84819094f1250b6a02d277 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f679844114819097242d623e723e4a completed May 2, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a272212fcdc8190944a379dd5a03967 completed June 8, 2026, 8:12 p.m.
NEDg Description generation batch_6a2722ab59848190b38fcf35c22050bc completed June 8, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_6a272344de1c819093cc8b8387452668 completed June 8, 2026, 8:17 p.m.
Created at: April 29, 2026, 6:45 p.m.