Triple

T11409273
Position Surface form Disambiguated ID Type / Status
Subject iPhone 14 Pro E270323 entity
Predicate supportsCrashDetection 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 14 Pro, supportsCrashDetection, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCrashDetection
Context triple: [iPhone 14 Pro, supportsCrashDetection, true]
  • A. crashResultedIn
    Indicates that a crash event caused or led to a particular outcome, consequence, or result.
  • B. associatedCrashSite
    Indicates that an entity is linked or related to a particular crash site, typically as the site where an incident involving that entity occurred or is recorded.
  • C. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • D. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • E. supportsDynamicInstrumentation
    Indicates that an entity is capable of being instrumented or monitored at runtime without requiring recompilation or restart.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e70ffd708190b62a78ebcbce9f78 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.