Triple

T30713035
Position Surface form Disambiguated ID Type / Status
Subject VarioFlex rear seats E781942 entity
Predicate featureOf P1094 FINISHED
Object Škoda Yeti (selected models)
The Škoda Yeti (selected models) is a compact crossover SUV known for its versatile, family-friendly interior, including highly configurable rear seating and practical everyday usability.
 E1931891 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: Škoda Yeti (selected models) | Statement: [VarioFlex rear seats, featureOf, Škoda Yeti (selected models)]
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: Škoda Yeti (selected models)
Triple: [VarioFlex rear seats, featureOf, Škoda Yeti (selected models)]
Generated description
The Škoda Yeti (selected models) is a compact crossover SUV known for its versatile, family-friendly interior, including highly configurable rear seating and practical everyday usability.

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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c1fd1e081908fa0a55e82f3030b completed May 2, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b08476648190be056543f0a3573e completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b4e1fc608190b4382fa665dc6fed completed June 10, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a28b61b4e148190a27ad4358b3e21cb completed June 10, 2026, 12:55 a.m.
Created at: April 29, 2026, 8:35 p.m.