Triple
T2166154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HealthKit |
E46912
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Health app |
E112758
|
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: Health app | Statement: [HealthKit, integratesWith, Health app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Health app Context triple: [HealthKit, integratesWith, Health app]
-
A.
Health app
chosen
The Health app is Apple’s central hub for tracking and managing personal health and fitness data from the iPhone, Apple Watch, and compatible third-party apps and devices.
-
B.
Fitbit mobile app
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.
-
C.
Google Fit
Google Fit is a health and fitness tracking platform by Google that aggregates activity, workout, and wellness data across devices and apps.
-
D.
Fitbit
Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
-
E.
Health Check
Health Check was a 2008 review and adjustment of the European Union’s Common Agricultural Policy aimed at modernizing farm support and addressing new challenges such as climate change and market volatility.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeab223881908aaa2bc4f85329cc |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f044b8819092c58022383d3468 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:45 p.m.