Triple

T31563258

Position	Surface form	Disambiguated ID	Type / Status
Subject	Finnish prison system	`E805327`	entity
Predicate	legalFramework	`P125`	FINISHED
Object	Imprisonment Act of Finland The Imprisonment Act of Finland is the primary law governing how prison sentences are enforced and how prisoners are treated within the Finnish correctional system.	`E1968355`	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: Imprisonment Act of Finland | Statement: [Finnish prison system, legalFramework, Imprisonment Act of Finland]

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: Imprisonment Act of Finland
Triple: [Finnish prison system, legalFramework, Imprisonment Act of Finland]

Generated description

The Imprisonment Act of Finland is the primary law governing how prison sentences are enforced and how prisoners are treated within the Finnish correctional system.

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_69f348d2ee94819091918d1789398c29`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_69f6a7ca9edc8190a222f6382a196472`	completed	May 3, 2026, 1:41 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2b2d979c34819098c464ee67f8c22c`	completed	June 11, 2026, 9:50 p.m.
NEDg	Description generation	`batch_6a2b4ad8c5488190b07d616fc101cbad`	completed	June 11, 2026, 11:55 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2b4e85f540819096d5a2540e07f702`	completed	June 12, 2026, 12:10 a.m.

Created at: April 30, 2026, 10:16 p.m.