Triple

T1251534
Position Surface form Disambiguated ID Type / Status
Subject Fitbit Premium E26885 entity
Predicate relatedTo P37 FINISHED
Object Google Fit ecosystem E13775 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: Google Fit ecosystem | Statement: [Fitbit Premium, relatedTo, Google Fit ecosystem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Fit ecosystem
Context triple: [Fitbit Premium, relatedTo, Google Fit ecosystem]
  • A. Google Fit chosen
    Google Fit is a health and fitness tracking platform by Google that aggregates activity, workout, and wellness data across devices and apps.
  • 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 OS
    Fitbit OS is a proprietary operating system designed by Fitbit to power its smartwatches and fitness-focused wearable devices.
  • D. 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.
  • E. 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.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c66bf881908f4b63548341178e completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.