Triple

T7290374
Position Surface form Disambiguated ID Type / Status
Subject TI-73 Explorer E164375 entity
Predicate supportsProgramming P35060 FINISHED
Object TI-BASIC-like language LITERAL 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: TI-BASIC-like language | Statement: [TI-73 Explorer, supportsProgramming, TI-BASIC-like language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsProgramming
Context triple: [TI-73 Explorer, supportsProgramming, TI-BASIC-like language]
  • A. supportProgram
    Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
  • B. supportsProgramType chosen
    Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
  • C. supportsProject
    Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
  • D. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • E. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • F. None of above.

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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6d4e308190af6b8c237988d7d8 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76c5fbc8190b378830082f11cb0 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3 p.m.