Triple

T4239336
Position Surface form Disambiguated ID Type / Status
Subject Vauxhall Viva E94770 entity
Predicate trimLevel P11486 FINISHED
Object GT E202186 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: GT | Statement: [Vauxhall Viva, trimLevel, GT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GT
Context triple: [Vauxhall Viva, trimLevel, GT]
  • A. GT
    GT is a leading public research university in Atlanta, Georgia, renowned for its strong engineering, computing, and technology programs.
  • B. GT chosen
    GT is a performance-oriented trim level commonly associated with sportier styling and enhanced powertrain features on vehicles like the Mercury Cougar.
  • C. GT
    GT is the ISO 3166-1 alpha-2 country code for Guatemala, a Central American nation known for its Mayan heritage and diverse landscapes.
  • D. GT
    GT is the stock ticker symbol for The Goodyear Tire & Rubber Company, a major American manufacturer of tires and rubber products.
  • E. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e76b6e0819084d0ce137b5ba74e completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a86c95008190b11832c741a11042 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.