Triple

T10870657
Position Surface form Disambiguated ID Type / Status
Subject Viva Aerobus E256639 entity
Predicate IATACode P418 FINISHED
Object VB E256639 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: VB | Statement: [Viva Aerobus, IATACode, VB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VB
Context triple: [Viva Aerobus, IATACode, VB]
  • A. VB chosen
    VB is the IATA airline designator used by Viva Aerobus, a Mexican low-cost carrier.
  • B. VB
    VB is the provincial code for the Province of Verbano-Cusio-Ossola in the Piedmont region of northern Italy.
  • C. Visual Basic
    Visual Basic is an event-driven programming language and integrated development environment (IDE) from Microsoft, widely used for building Windows applications with a relatively simple, BASIC-derived syntax.
  • D. Visual Basic .NET
    Visual Basic .NET is an object-oriented programming language developed by Microsoft for the .NET framework, designed to be easy to learn and tightly integrated with Windows application development.
  • E. VBA
    VBA (Visual Basic for Applications) is a Microsoft event-driven programming language used primarily to automate tasks and extend functionality in Office applications like Excel and Access.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7518610e48190bee50db71ae0ca3e completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d9ce3c8190afeb2a27fb82b594 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.