Triple

T7089284
Position Surface form Disambiguated ID Type / Status
Subject SmartThings E165149 entity
Predicate offersService P178 FINISHED
Object SmartThings Energy E165149 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: SmartThings Energy | Statement: [SmartThings, offersService, SmartThings Energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SmartThings Energy
Context triple: [SmartThings, offersService, SmartThings Energy]
  • A. SmartThings chosen
    SmartThings is a smart home platform that connects and controls a wide range of compatible devices through a unified app and ecosystem.
  • B. SecEnergy
    SecEnergy is the commonly used abbreviation for the United States Secretary of Energy, the Cabinet official who leads the Department of Energy and oversees national energy policy and nuclear security.
  • C. easyEnergy
    easyEnergy is an energy supply company operating under Stelios Haji-Ioannou’s easyGroup brand family, known for low-cost, consumer-focused services.
  • D. Smartwings
    Smartwings is a Czech low-cost airline based in Prague that operates scheduled and charter flights across Europe and to selected leisure destinations worldwide.
  • E. Kenergy
    Kenergy is a playful pop-culture term capturing the exuberant, slightly oblivious yet endearing masculine vibe embodied by Ryan Gosling’s portrayal of Ken in the Barbie movie.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e52ec0348190ac090c2fee3edfb8 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794888abc8190ada2ae826449745a completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:41 p.m.