Triple

T2140848
Position Surface form Disambiguated ID Type / Status
Subject Hmong E46755 entity
Predicate spokenIn P2266 FINISHED
Object Laos E10737 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: Laos | Statement: [Hmong, spokenIn, Laos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laos
Context triple: [Hmong, spokenIn, Laos]
  • A. Laos chosen
    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.
  • B. 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.
  • C. Viet Nam
    Viet Nam is a Southeast Asian nation known for its rapid economic growth, rich cultural heritage, and strategic role in regional and global trade.
  • D. Thailand
    Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
  • E. Annam
    Annam was a historical region in central Vietnam that served as a key center of resistance and revolutionary activity during the August General Uprising against French colonial rule.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe04135c8190ab100b4b3879cb01 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653677ec8190ab0b044e005a9947 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:44 p.m.