Triple

T8846824
Position Surface form Disambiguated ID Type / Status
Subject Porsche Taycan E210524 entity
Predicate competitor P1375 FINISHED
Object Tesla Model S E6686 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: Tesla Model S | Statement: [Porsche Taycan, competitor, Tesla Model S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tesla Model S
Context triple: [Porsche Taycan, competitor, Tesla Model S]
  • A. Tesla Model S chosen
    The Tesla Model S is a luxury all-electric sedan known for its long range, high performance, and role in popularizing mainstream electric vehicles.
  • B. Tesla Model X
    The Tesla Model X is an all-electric luxury SUV known for its falcon-wing rear doors, high performance, and advanced driver-assistance technology.
  • C. Tesla Model 3
    The Tesla Model 3 is a mass-market electric sedan known for its long range, high performance, and role in popularizing electric vehicles worldwide.
  • D. Tesla Model Y
    The Tesla Model Y is a compact all-electric crossover SUV known for its long range, advanced driver-assistance features, and minimalist high-tech interior.
  • E. Tesla Roadster
    The Tesla Roadster is an all-electric sports car that marked Tesla’s debut in the automotive market and helped popularize high-performance electric vehicles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a7c518819095399976148e1b9a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89bd3ef48190a6a2efff18db4dbd completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.