Triple

T3047782
Position Surface form Disambiguated ID Type / Status
Subject Toyota Corolla E83490 entity
Predicate soldInCountry P11351 FINISHED
Object India E1124 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: India | Statement: [Toyota Corolla, soldInCountry, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [Toyota Corolla, soldInCountry, India]
  • A. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • B. Indi
    Indi is an Australian federal electoral division in the state of Victoria, encompassing a largely rural and regional area in the state's northeast.
  • C. Bharata
    Bharata is a virtuous prince in the Hindu epic Ramayana, renowned for his unwavering devotion to his exiled brother Rama and his refusal to usurp the throne.
  • D. Estado da Índia
    Estado da Índia was the Portuguese Empire’s colonial state in Asia, encompassing its key trading ports and territories from the early 16th century onward.
  • E. Star India
    Star India is a major Indian media and entertainment company known for its extensive portfolio of television channels and digital streaming services across multiple languages and genres.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9baed3848190a8351d9c8c4edc79 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee9ee148190843184f85077a6df completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.