Triple

T4978087
Position Surface form Disambiguated ID Type / Status
Subject Tesla Gateway E111816 entity
Predicate integratesWith P1075 FINISHED
Object Tesla mobile app E111815 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: Tesla mobile app | Statement: [Tesla Gateway, integratesWith, Tesla mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tesla mobile app
Context triple: [Tesla Gateway, integratesWith, Tesla mobile app]
  • A. Tesla app chosen
    The Tesla app is a mobile application that lets Tesla owners monitor and control their vehicles and energy products, including Powerwall home batteries, in real time.
  • B. Ventra
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • C. Tesla Gateway
    Tesla Gateway is an energy management and control device that coordinates Tesla Powerwall batteries with a home’s electrical system and the grid for backup power and load management.
  • D. Tesla vehicles
    Tesla vehicles are a line of all-electric cars and SUVs produced by Tesla, Inc., known for their long range, high performance, advanced battery technology, and integrated autonomous driving features.
  • E. Tesla Vision
    Tesla Vision is Tesla’s camera-based driver-assistance and autonomous driving system that relies solely on vision processing instead of radar or lidar sensors.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7232bd8c8190b325c9198e8b2fa1 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0ac8d48190b9d050e26b67a794 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.