Triple

T32239688
Position Surface form Disambiguated ID Type / Status
Subject BIN E823573 entity
Predicate jurisdiction P82 FINISHED
Object local vehicle registration office Ingelheim am Rhein
The local vehicle registration office Ingelheim am Rhein is a municipal authority in Ingelheim, Germany, responsible for services such as registering, licensing, and documenting motor vehicles for residents in its jurisdiction.
E1998301 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: local vehicle registration office Ingelheim am Rhein | Statement: [BIN, jurisdiction, local vehicle registration office Ingelheim am Rhein]
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: local vehicle registration office Ingelheim am Rhein
Triple: [BIN, jurisdiction, local vehicle registration office Ingelheim am Rhein]
Generated description
The local vehicle registration office Ingelheim am Rhein is a municipal authority in Ingelheim, Germany, responsible for services such as registering, licensing, and documenting motor vehicles for residents in its jurisdiction.

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_69f3490c140481908ed53b98b561eaa1 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc2f34f88190ae24a9bba5e6c8ec completed May 3, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3bb19d6c8190b2d978351350086e completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3c35079c8190a9b5d359d16cfd8b completed June 14, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a2f41a090a08190ae41dff8c3b1a4a6 completed June 15, 2026, 12:04 a.m.
Created at: May 1, 2026, 12:39 a.m.