Triple

T464452
Position Surface form Disambiguated ID Type / Status
Subject Tesla Model 3 E8414 entity
Predicate alsoKnownAs P39 FINISHED
Object Model 3 E8414 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: Model 3 | Statement: [Tesla Model 3, alsoKnownAs, Model 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Model 3
Context triple: [Tesla Model 3, alsoKnownAs, Model 3]
  • A. Tesla Model 3 chosen
    The Tesla Model 3 is a mass-market electric sedan known for its long range, high performance, and role in popularizing electric vehicles worldwide.
  • B. 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.
  • C. Tesla Model S
    The Tesla Model S is a luxury all-electric sedan known for its long range, high performance, and role in popularizing mainstream electric vehicles.
  • D. 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.
  • E. Chevrolet Bolt EV
    The Chevrolet Bolt EV is a compact all-electric hatchback known for its relatively long driving range, affordability, and role in popularizing mainstream electric vehicles in North America.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd5b6b48190ae23968135cf6417 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45297615881908011d248f1c8fd76 completed March 1, 2026, 2:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.