Triple

T577331
Position Surface form Disambiguated ID Type / Status
Subject Health Connect E13783 entity
Predicate integratesWith P1075 FINISHED
Object Google Fit 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 | Statement: [Health Connect, integratesWith, Google Fit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Fit
Context triple: [Health Connect, integratesWith, Google Fit]
  • 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. 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.
  • 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. Fitbit OS
    Fitbit OS is a proprietary operating system designed by Fitbit to power its smartwatches and fitness-focused wearable 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e23bce481908404040b848ba9c1 completed March 2, 2026, 4:12 a.m.
Created at: March 1, 2026, 7:33 p.m.