Triple

T25529701
Position Surface form Disambiguated ID Type / Status
Subject Lovisenberg Diaconal Hospital E639876 entity
Predicate collaboratesWith P37 FINISHED
Object Oslo municipality health services
Oslo municipality health services is the public healthcare system responsible for providing primary and community-based medical, nursing, and social care services to residents of the city of Oslo, Norway.
E1685126 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: Oslo municipality health services | Statement: [Lovisenberg Diaconal Hospital, collaboratesWith, Oslo municipality health services]
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: Oslo municipality health services
Triple: [Lovisenberg Diaconal Hospital, collaboratesWith, Oslo municipality health services]
Generated description
Oslo municipality health services is the public healthcare system responsible for providing primary and community-based medical, nursing, and social care services to residents of the city of Oslo, Norway.

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_69e75dbf3f9c8190b3f2a75d1b75d127 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f861fa088190a77a182aa602703e completed May 2, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad8d1d0c8190a4396b965bf1118d completed May 22, 2026, 7:25 p.m.
NEDg Description generation batch_6a10afa0b2cc8190ab97053be8741d2f completed May 22, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a10b04893f881909cf82ddc39991ce4 completed May 22, 2026, 7:36 p.m.
Created at: April 21, 2026, 3:13 p.m.