Triple

T10248151
Position Surface form Disambiguated ID Type / Status
Subject Isuzu D-Max E240271 entity
Predicate assemblyLocation P40 FINISHED
Object Thailand E5032 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: Thailand | Statement: [Isuzu D-Max, assemblyLocation, Thailand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thailand
Context triple: [Isuzu D-Max, assemblyLocation, 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. Thái
    Thái is a Vietnamese family name commonly borne by individuals such as the military leader Hoàng Văn Thái.
  • C. Myanmar
    Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
  • D. Laos
    Laos is a landlocked Southeast Asian country known for its mountainous terrain, Buddhist culture, and status as one of the region’s least developed but rapidly reforming economies.
  • E. southern Thailand
    Southern Thailand is the culturally diverse, predominantly Malay-influenced southern region of Thailand, known for its tropical coasts, Islamic heritage, and proximity to Malaysia.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cbd67648190ba7faebd12d96ca9 completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:27 a.m.