Triple

T36751130
Position Surface form Disambiguated ID Type / Status
Subject University College Absalon campus Slagelse E907916 entity
Predicate partOf P40 FINISHED
Object University College Absalon
University College Absalon is a Danish regional university college offering a range of professional bachelor’s programs and applied research activities across multiple campuses in Zealand.
E2197577 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: University College Absalon | Statement: [University College Absalon campus Slagelse, partOf, University College Absalon]
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: University College Absalon
Triple: [University College Absalon campus Slagelse, partOf, University College Absalon]
Generated description
University College Absalon is a Danish regional university college offering a range of professional bachelor’s programs and applied research activities across multiple campuses in Zealand.

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_69f76e76d10881909ec1679bc043108c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c94338048190bfa6ebb5f9451be3 completed May 3, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c173778e48190b12646065ec95ade completed June 24, 2026, 5:43 p.m.
NEDg Description generation batch_6a3c17eb1a9c81909dff2e396edbe247 completed June 24, 2026, 5:46 p.m.
NED2 Entity disambiguation (via description) batch_6a3c6c95ba308190825d5700d4b6d605 completed June 24, 2026, 11:47 p.m.
Created at: May 3, 2026, 4:12 p.m.