Triple

T1061930
Position Surface form Disambiguated ID Type / Status
Subject IEEE 802.24 E22924 entity
Predicate relatedTo P37 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: [IEEE 802.24, relatedTo, Internet of Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Internet of Things
Context triple: [IEEE 802.24, relatedTo, 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. IEEE 2413 IoT architecture standard
    IEEE 2413 IoT architecture standard is a framework that defines a unified, scalable reference architecture and common vocabulary for designing and integrating Internet of Things systems across diverse domains.
  • C. Connected
    Connected is TAG Heuer’s luxury smartwatch line that combines traditional Swiss watchmaking design with modern wearable technology features.
  • D. WSN
    WSN is the standard abbreviation used for the Washington Nationals Major League Baseball team.
  • E. Embedded Processing
    Embedded Processing is a Texas Instruments business division focused on designing and supplying microcontrollers, processors, and related semiconductor solutions for embedded systems applications.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f531f481909a40558811379992 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd553a08190a2014711bd1146bf completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.