Triple

T30611484

Position	Surface form	Disambiguated ID	Type / Status
Subject	Federal Minister of Health and Social Security	`E779189`	entity
Predicate	coordinatesWith	`P1140`	FINISHED
Object	Länder health authorities Länder health authorities are the regional public health agencies of Germany’s federal states responsible for implementing and overseeing health policy and services at the state and local levels.	`E1923052`	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: Länder health authorities | Statement: [Federal Minister of Health and Social Security, coordinatesWith, Länder health authorities]

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: Länder health authorities
Triple: [Federal Minister of Health and Social Security, coordinatesWith, Länder health authorities]

Generated description

Länder health authorities are the regional public health agencies of Germany’s federal states responsible for implementing and overseeing health policy and services at the state and local levels.

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_69f224a21fc08190abd9d8dd9eb6bb4c`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f689e773ac81908b79eef4d4aae5cb`	completed	May 2, 2026, 11:33 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2863de1d288190a6bf2137784604f1`	completed	June 9, 2026, 7:05 p.m.
NEDg	Description generation	`batch_6a2864de7ca081909869bd52d86a739a`	completed	June 9, 2026, 7:09 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2865f827a48190848331baed146005`	completed	June 9, 2026, 7:14 p.m.

Created at: April 29, 2026, 8:26 p.m.