Triple

T34776611
Position Surface form Disambiguated ID Type / Status
Subject Samsung Galaxy Note9 E1002524 entity
Predicate hasIrisScanner P63130 FINISHED
Object yes 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: yes | Statement: [Samsung Galaxy Note9, hasIrisScanner, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIrisScanner
Context triple: [Samsung Galaxy Note9, hasIrisScanner, yes]
  • A. hasFingerprintSensor
    Indicates that an entity is equipped with or includes a fingerprint recognition sensor.
  • B. hasFaceUnlock
    Indicates that an entity supports or is equipped with a facial recognition–based unlocking feature.
  • C. includesBiometrics chosen
    Indicates that one entity contains, uses, or is associated with biometric data or biometric identifiers of another entity.
  • D. visionCapability
    Indicates that an entity possesses the ability or capacity to see or visually perceive its environment.
  • E. hasInnerSelfieCamera
    Indicates that an object (typically a device) is equipped with a front-facing or inward-facing selfie camera.
  • 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_69f76db30a108190bb57ca95b873e5bb completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ffa6b68819090257fed3802c239 completed May 3, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69f7795978c481909e152cd1bd02dd07 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 3:59 p.m.