Triple

T18250765
Position Surface form Disambiguated ID Type / Status
Subject City of Torrance E437083 entity
Predicate isHeadquartersLocationOf P17490 FINISHED
Object Faraday Future NE NERFINISHED

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: Faraday Future | Statement: [City of Torrance, isHeadquartersLocationOf, Faraday Future]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faraday Future
Context triple: [City of Torrance, isHeadquartersLocationOf, Faraday Future]
  • A. Faraday Future chosen
    Faraday Future is an American electric vehicle startup focused on developing high-performance, luxury smart EVs and mobility technologies.
  • B. Li Auto
    Li Auto is a Chinese electric vehicle manufacturer known for its extended-range hybrid SUVs and focus on smart, family-oriented cars.
  • C. Byton
    Byton is a defunct Chinese electric vehicle startup that aimed to produce high-tech, connected smart cars for global markets.
  • D. Lucid Group
    Lucid Group is an American electric vehicle manufacturer best known for its luxury, high-performance EVs that compete with brands like Tesla and Mercedes-Benz.
  • E. Rimac
    Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8124648190ae7fc9f1fc5cf9bd completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.