Triple

T197529
Position Surface form Disambiguated ID Type / Status
Subject Fitbit E4030 entity
Predicate develops P73 FINISHED
Object Fitbit OS
Fitbit OS is a proprietary operating system designed by Fitbit to power its smartwatches and fitness-focused wearable devices.
 E25121 NE FINISHED

How this triple was built (4 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 OS | Statement: [Fitbit, develops, Fitbit OS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fitbit OS
Context triple: [Fitbit, develops, Fitbit OS]
  • A. Fitbit
    Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
  • B. Google Fit
    Google Fit is a health and fitness tracking platform by Google that aggregates activity, workout, and wellness data across devices and apps.
  • C. Wear OS
    Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
  • D. Apple Fitness+
    Apple Fitness+ is a subscription-based fitness streaming service by Apple that offers guided workouts and wellness sessions integrated with Apple Watch and other Apple devices.
  • E. Qualcomm Snapdragon Wear
    Qualcomm Snapdragon Wear is a family of low-power system-on-chip platforms designed by Qualcomm specifically for wearable devices such as smartwatches and fitness trackers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fitbit OS
Triple: [Fitbit, develops, Fitbit OS]
Generated description
Fitbit OS is a proprietary operating system designed by Fitbit to power its smartwatches and fitness-focused wearable devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fitbit OS
Target entity description: Fitbit OS is a proprietary operating system designed by Fitbit to power its smartwatches and fitness-focused wearable devices.
  • A. Fitbit
    Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
  • B. Google Fit
    Google Fit is a health and fitness tracking platform by Google that aggregates activity, workout, and wellness data across devices and apps.
  • C. Wear OS
    Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
  • D. Apple Fitness+
    Apple Fitness+ is a subscription-based fitness streaming service by Apple that offers guided workouts and wellness sessions integrated with Apple Watch and other Apple devices.
  • E. Qualcomm Snapdragon Wear
    Qualcomm Snapdragon Wear is a family of low-power system-on-chip platforms designed by Qualcomm specifically for wearable devices such as smartwatches and fitness trackers.
  • F. None of above. chosen

Provenance (5 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bc96aa081908ef74c9827c9aa48 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3161ddd388190954fd4b73b32a3b1 completed Feb. 28, 2026, 4:21 p.m.
NEDg Description generation batch_69a318fd61d0819082a19da66019b14f completed Feb. 28, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69a31950bcc88190aa30a020c23a94cf completed Feb. 28, 2026, 4:35 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.