Triple

T4554433
Position Surface form Disambiguated ID Type / Status
Subject Jetpack E120446 entity
Predicate hasComponent P35 FINISHED
Object Jetpack Backup E120446 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: Jetpack Backup | Statement: [Jetpack, hasComponent, Jetpack Backup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jetpack Backup
Context triple: [Jetpack, hasComponent, Jetpack Backup]
  • A. Jetpack chosen
    Jetpack is a popular WordPress plugin and service suite that provides security, performance optimization, and site management tools for WordPress websites.
  • B. Orvault
    Orvault is a suburban commune in western France, forming part of the metropolitan area of Nantes in the Loire-Atlantique department.
  • C. Mobile Launcher 2
    Mobile Launcher 2 was one of NASA’s Saturn V launch platforms at Kennedy Space Center, supporting Apollo-era missions by providing the structure and services needed to prepare and launch the rockets.
  • D. Backtrack
    Backtrack is a 2015 Australian psychological thriller film starring Adrien Brody as a troubled psychologist uncovering a dark mystery tied to his past.
  • E. Pixel Launcher
    Pixel Launcher is Google's custom Android home screen app designed for Pixel devices, offering a clean interface, tight integration with Google services, and exclusive features like contextual suggestions and personalized feeds.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd58127ed08190a04962a43afb888b completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc575e3388190ac95b9e0537fb701 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:09 p.m.