Triple

T6525436
Position Surface form Disambiguated ID Type / Status
Subject Bosch E151289 entity
Predicate focusArea P3 FINISHED
Object Internet of Things E1067 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: Internet of Things | Statement: [Bosch, focusArea, Internet of Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Internet of Things
Context triple: [Bosch, focusArea, Internet of Things]
  • A. Internet of Things chosen
    The Internet of Things is a network of physical devices embedded with sensors, software, and connectivity that allows them to collect and exchange data autonomously.
  • B. IOT
    IOT is the three-letter ISO 3166-1 alpha-3 country code assigned to the British Indian Ocean Territory.
  • C. IOTs
    IOTs is an abbreviation for Integrated Operational Teams, cross-functional groups designed to coordinate and streamline complex operational activities within an organization.
  • D. Intelligent Electronics
    Intelligent Electronics was a U.S.-based computer and electronics retail and distribution company active primarily in the 1980s and early 1990s.
  • E. NB-IoT
    NB-IoT (Narrowband Internet of Things) is a low-power wide-area network radio technology standard designed to efficiently connect large numbers of simple, low-throughput IoT devices over licensed cellular spectrum.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada77b448190b6e0e07494fb4dd3 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5271b7c8190a602f6ec72efe04c completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:45 p.m.