Triple

T32655544
Position Surface form Disambiguated ID Type / Status
Subject 2014 Paris Motor Show E834850 entity
Predicate notableWorldPremiere P112744 FINISHED
Object Audi TT Sportback concept
The Audi TT Sportback concept is a four-door coupé study that reimagines Audi’s compact sports car with a sleeker, elongated body and enhanced practicality while retaining performance-focused design cues.
 E2016813 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: Audi TT Sportback concept | Statement: [2014 Paris Motor Show, notableWorldPremiere, Audi TT Sportback concept]
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: Audi TT Sportback concept
Triple: [2014 Paris Motor Show, notableWorldPremiere, Audi TT Sportback concept]
Generated description
The Audi TT Sportback concept is a four-door coupé study that reimagines Audi’s compact sports car with a sleeker, elongated body and enhanced practicality while retaining performance-focused design cues.

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_69f3492f72248190ba42fa596aea50e1 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a0380985cf48190b9d2cf430332be1a completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3492ad7a488190b499fc491a1fbc6c completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a34938a58dc8190ab8e23d0b021db8b completed June 19, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_6a34941dcdbc8190b6549f9be8eb672f completed June 19, 2026, 12:58 a.m.
Created at: May 1, 2026, 1:08 a.m.