Triple

T3421451
Position Surface form Disambiguated ID Type / Status
Subject Pixel Watch E72122 entity
Predicate supportsService P203 FINISHED
Object Fitbit Premium E26885 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: Fitbit Premium | Statement: [Pixel Watch, supportsService, Fitbit Premium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fitbit Premium
Context triple: [Pixel Watch, supportsService, Fitbit Premium]
  • A. Fitbit Premium chosen
    Fitbit Premium is a paid membership service that enhances Fitbit devices and apps with advanced health insights, personalized coaching, and additional wellness features.
  • B. Fitbit
    Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
  • C. Fitbit Sense
    Fitbit Sense is a health-focused smartwatch by Fitbit that offers advanced fitness tracking, heart and stress monitoring, and smart features like notifications and apps.
  • D. Fitbit Ionic
    The Fitbit Ionic is a GPS-enabled fitness-focused smartwatch that tracks activity, heart rate, sleep, and supports apps and notifications.
  • E. Fitbit Versa series
    The Fitbit Versa series is a line of lightweight, square-faced smartwatches focused on fitness tracking, health monitoring, and everyday smartwatch features at a relatively affordable price.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb950f65481908c4aad15516e7a7c completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360c285688190a264fcb4ab271b82 completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.