Triple

T6139545
Position Surface form Disambiguated ID Type / Status
Subject Fitbit web dashboard E136924 entity
Predicate usesDataFrom P399 FINISHED
Object Fitbit mobile app E152912 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 mobile app | Statement: [Fitbit web dashboard, usesDataFrom, Fitbit mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fitbit mobile app
Context triple: [Fitbit web dashboard, usesDataFrom, Fitbit mobile app]
  • A. Fitbit mobile app chosen
    The Fitbit mobile app is a health and fitness tracking application that collects data from Fitbit devices to provide insights on activity, sleep, heart rate, and overall wellness.
  • B. Fitbit web dashboard
    The Fitbit web dashboard is an online interface where users can view, analyze, and manage their Fitbit health and activity data from a web browser.
  • C. Fitbit
    Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
  • D. Google Fit
    Google Fit is a health and fitness tracking platform by Google that aggregates activity, workout, and wellness data across devices and apps.
  • E. Fitbit Premium
    Fitbit Premium is a paid membership service that enhances Fitbit devices and apps with advanced health insights, personalized coaching, and additional wellness features.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb030fc8190b78e4967eea65611 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135ecd62c8190911b98133bf71dfc completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.