Triple

T12047576
Position Surface form Disambiguated ID Type / Status
Subject iPhone 12 Pro E286823 entity
Predicate supportsSiri P203 FINISHED
Object true 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: true | Statement: [iPhone 12 Pro, supportsSiri, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsSiri
Context triple: [iPhone 12 Pro, supportsSiri, true]
  • A. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • B. haveRichVoiceSystem
    Indicates that an entity possesses a voice system characterized by richness, such as depth, fullness, or expressive quality.
  • C. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • D. supportsCommand
    Indicates that one entity is capable of recognizing, accepting, or executing a specified command associated with another entity.
  • E. supportsAt
    Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902bac9e08190aa1a99c835f29542 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.