Triple

T970539
Position Surface form Disambiguated ID Type / Status
Subject Tesla Solar Roof E20933 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 Solar Roof, integratesWith, Tesla mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tesla mobile app
Context triple: [Tesla Solar Roof, 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4497d688190b59c3a195e377080 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1707339081909c69c7c613eed383 completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.