Triple

T13526216
Position Surface form Disambiguated ID Type / Status
Subject Toyota IMV platform E323021 entity
Predicate firstMassProduction P35143 FINISHED
Object Thailand E5032 NE FINISHED

How this triple was built (3 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: Thailand | Statement: [Toyota IMV platform, firstMassProduction, Thailand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thailand
Context triple: [Toyota IMV platform, firstMassProduction, Thailand]
  • A. Thailand chosen
    Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
  • B. Siam
    Siam is a major commercial and transportation hub in central Bangkok, known for its large shopping complexes and role as a key interchange point in the city’s transit system.
  • C. Saovabha Phongsri
    Saovabha Phongsri was a queen consort of Siam (Thailand), noted as one of King Chulalongkorn’s principal wives and the mother of several future Thai kings.
  • D. Lithai
    Lithai was a prominent king of the Sukhothai Kingdom in 14th-century Thailand, known for consolidating royal power and promoting Theravada Buddhism and Thai culture.
  • E. Thái
    Thái is a Vietnamese family name commonly borne by individuals such as the military leader Hoàng Văn Thái.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstMassProduction
Context triple: [Toyota IMV platform, firstMassProduction, Thailand]
  • A. firstMassProductionBy chosen
    Indicates that the subject is the first entity to mass-produce the object or technology referenced.
  • B. firstMassProductionProductName
    Indicates the name of the product that was the first to be mass-produced by a given entity.
  • C. massProductionStart
    Indicates the point in time when an item or product begins to be manufactured at large scale in a mass-production process.
  • D. firstMajorProduction
    Indicates that an entity is the earliest significant or primary production (such as a film, play, or large-scale work) associated with another entity.
  • E. firstProduction
    Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
  • F. None of above.

Provenance (4 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa6ad60819087824e4ac83934ed completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba9fccc81908ec2e33d66aae8ea completed May 3, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69dbae1046c48190b4ee98c6c9cb9d85 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.