Triple

T34509786

Position	Surface form	Disambiguated ID	Type / Status
Subject	WI	`E885987`	entity
Predicate	associatedWithGovernmentAuthority	`P141352`	FINISHED
Object	Wiesbaden vehicle registration office The Wiesbaden vehicle registration office is a local government agency responsible for registering motor vehicles, issuing license plates, and handling related administrative services for the city of Wiesbaden in Germany.	`E2100260`	NE FINISHED

How this triple was built (3 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: Wiesbaden vehicle registration office | Statement: [WI, associatedWithGovernmentAuthority, Wiesbaden vehicle registration office]

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: Wiesbaden vehicle registration office
Triple: [WI, associatedWithGovernmentAuthority, Wiesbaden vehicle registration office]

Generated description

The Wiesbaden vehicle registration office is a local government agency responsible for registering motor vehicles, issuing license plates, and handling related administrative services for the city of Wiesbaden in Germany.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: associatedWithGovernmentAuthority
Context triple: [WI, associatedWithGovernmentAuthority, Wiesbaden vehicle registration office]

A. associatedWithGovernmentOfficial
Indicates a relationship in which an entity has a connection, involvement, or affiliation with a government official.
B. associatedWithGovernmentInstitution chosen
Indicates a relationship where an entity is connected, linked, or formally related to a government institution in some capacity.
C. associatedWithGovernmentBranch
Indicates that an entity has a formal connection, role, or affiliation with a specific branch of government.
D. associatedWithGovernmentPosition
Indicates that an entity has a connection or involvement with a governmental role, office, or official position.
E. associatedWithGovernmentForm
Indicates a relationship in which an entity is linked or connected to a particular form or type of government.
F. None of above.

Provenance (6 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_69f349cc0220819081f154c6964f4dc2`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_6a037c8ae0248190b7e2ce4bf852c22d`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3729db72b881909fa25536459d04e0`	completed	June 21, 2026, 12:01 a.m.
NEDg	Description generation	`batch_6a372a47f6a88190af8922a3af8c5eba`	completed	June 21, 2026, 12:03 a.m.
NED2	Entity disambiguation (via description)	`batch_6a372acf6ce48190bec089a269da1194`	completed	June 21, 2026, 12:05 a.m.
PD	Predicate disambiguation	`batch_6a0379fbe4a08190bfe65ebd141164e9`	completed	May 12, 2026, 7:05 p.m.

Created at: May 1, 2026, 2:01 a.m.