Triple

T36998015
Position Surface form Disambiguated ID Type / Status
Subject National Commissioner of the Icelandic Police E915280 entity
Predicate partOf P40 FINISHED
Object Icelandic police
The Icelandic police is the national law enforcement agency of Iceland, responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
E915280 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: Icelandic police | Statement: [National Commissioner of the Icelandic Police, partOf, Icelandic police]
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: Icelandic police
Triple: [National Commissioner of the Icelandic Police, partOf, Icelandic police]
Generated description
The Icelandic police is the national law enforcement agency of Iceland, responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.

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_69f76e8f1a8c81909db172ed31304971 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ffe67e1c8190880dfc677e6442a6 completed May 5, 2026, 2:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e576476b0819095c3d52b0b11e444 completed June 26, 2026, 10:41 a.m.
NEDg Description generation batch_6a3e5931ce08819080758885f22bda3a completed June 26, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a3e5f4a910081908f9ff844c1feb1ae completed June 26, 2026, 11:15 a.m.
Created at: May 3, 2026, 4:14 p.m.