Triple

T25520221

Position	Surface form	Disambiguated ID	Type / Status
Subject	Reichskreise	`E639624`	entity
Predicate	hasComponent	`P35`	FINISHED
Object	Kurrheinischer Kreis The Kurrheinischer Kreis was an Imperial Circle of the Holy Roman Empire that grouped together several ecclesiastical and secular territories along the Middle and Lower Rhine for administrative, military, and fiscal purposes.	`E1684973`	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: Kurrheinischer Kreis | Statement: [Reichskreise, hasComponent, Kurrheinischer Kreis]

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: Kurrheinischer Kreis
Triple: [Reichskreise, hasComponent, Kurrheinischer Kreis]

Generated description

The Kurrheinischer Kreis was an Imperial Circle of the Holy Roman Empire that grouped together several ecclesiastical and secular territories along the Middle and Lower Rhine for administrative, military, and fiscal purposes.

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_69e75dbe32e48190a62d749a0ff2a96a`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f5f8353d6c81908dd21e9e867d3753`	completed	May 2, 2026, 1:12 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10ad84d02c819095c24b97d7121183`	completed	May 22, 2026, 7:24 p.m.
NEDg	Description generation	`batch_6a10af1c3da4819081cb3a843a9841d6`	completed	May 22, 2026, 7:31 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10af914a4481909fad4723d5975df5`	completed	May 22, 2026, 7:33 p.m.

Created at: April 21, 2026, 2:59 p.m.