Triple

T28559209
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart Messe E723087 entity
Predicate isMajorVenueIn P34809 FINISHED
Object Stuttgart metropolitan area
The Stuttgart metropolitan area is a major economic and cultural region in southwestern Germany centered on the city of Stuttgart, known for its strong automotive industry, technology sector, and trade fairs.
E1454491 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: Stuttgart metropolitan area | Statement: [Stuttgart Messe, isMajorVenueIn, Stuttgart metropolitan area]
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: Stuttgart metropolitan area
Triple: [Stuttgart Messe, isMajorVenueIn, Stuttgart metropolitan area]
Generated description
The Stuttgart metropolitan area is a major economic and cultural region in southwestern Germany centered on the city of Stuttgart, known for its strong automotive industry, technology sector, and trade fairs.

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_69f01a60204481909af1bb76247b8221 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6505292f48190b56d8d9a88943225 completed May 2, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec1d03e4819081ab7a432195e76b completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f04a62088190a7c7981e2baab162 completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f4b1f6bc8190b2edb78cc273e419 completed June 7, 2026, 4:33 a.m.
Created at: April 28, 2026, 3:47 a.m.