Triple

T9705868
Position Surface form Disambiguated ID Type / Status
Subject Amazon Lab126 E234895 entity
Predicate focusesOn P31 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: [Amazon Lab126, focusesOn, Internet of Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Internet of Things
Context triple: [Amazon Lab126, focusesOn, 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. IEEE Internet of Things Community
    The IEEE Internet of Things Community is a global professional group within IEEE that focuses on advancing research, standards, and innovation in Internet of Things technologies and applications.
  • E. Intelligent Electronics
    Intelligent Electronics was a U.S.-based computer and electronics retail and distribution company active primarily in the 1980s and early 1990s.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da369b4819081f6ce01289ed725 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1913aa6e4819081964cf9bcf24fca completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:19 p.m.