Triple

T1903553
Position Surface form Disambiguated ID Type / Status
Subject SEAT E37746 entity
Predicate brand P1500 FINISHED
Object CUPRA
CUPRA is SEAT’s performance-oriented automotive brand known for producing sporty, design-focused cars and SUVs.
E37746 NE FINISHED

How this triple was built (4 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: CUPRA | Statement: [SEAT, brand, CUPRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CUPRA
Context triple: [SEAT, brand, CUPRA]
  • A. Porsche Taycan
    The Porsche Taycan is a high-performance all-electric luxury sports sedan known for its rapid acceleration, advanced technology, and Porsche’s signature driving dynamics.
  • B. Bugatti Rimac
    Bugatti Rimac is a high-performance automotive joint venture combining Bugatti’s heritage of luxury hypercars with Rimac’s cutting-edge electric powertrain technology.
  • C. Maxus
    Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
  • D. Rimac
    Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
  • E. SEAT
    SEAT is a Spanish automobile manufacturer known for producing affordable, stylish cars and operating as a subsidiary of the Volkswagen Group.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: CUPRA
Triple: [SEAT, brand, CUPRA]
Generated description
CUPRA is SEAT’s performance-oriented automotive brand known for producing sporty, design-focused cars and SUVs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CUPRA
Target entity description: CUPRA is SEAT’s performance-oriented automotive brand known for producing sporty, design-focused cars and SUVs.
  • A. Porsche Taycan
    The Porsche Taycan is a high-performance all-electric luxury sports sedan known for its rapid acceleration, advanced technology, and Porsche’s signature driving dynamics.
  • B. Bugatti Rimac
    Bugatti Rimac is a high-performance automotive joint venture combining Bugatti’s heritage of luxury hypercars with Rimac’s cutting-edge electric powertrain technology.
  • C. Maxus
    Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
  • D. Rimac
    Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
  • E. SEAT chosen
    SEAT is a Spanish automobile manufacturer known for producing affordable, stylish cars and operating as a subsidiary of the Volkswagen Group.
  • F. None of above.

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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1909aec8190b3259c8f969ce81e completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf768888190885ffa1632537445 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb8b3d2c8190b13c03ce944f436a completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec123cc481908e55dfbe4f4da095 completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.