Triple

T2610121
Position Surface form Disambiguated ID Type / Status
Subject Vesak E58752 entity
Predicate observedIn 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: [Vesak, observedIn, Thailand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thailand
Context triple: [Vesak, observedIn, 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. 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.
  • C. 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.
  • D. 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.
  • E. Cambodia
    Cambodia is a Southeast Asian nation known for its ancient Khmer civilization, the Angkor Wat temple complex, and a modern history marked by French colonial rule and the Khmer Rouge regime.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd86a9c34819082623c4ee2c5069b completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d6daa4819087ee111e648ce71d completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:50 p.m.