Triple

T22833485
Position Surface form Disambiguated ID Type / Status
Subject Dương Văn Minh E565872 entity
Predicate residence P75 FINISHED
Object Saigon NE NERFINISHED

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: Saigon | Statement: [Dương Văn Minh, residence, Saigon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saigon
Context triple: [Dương Văn Minh, residence, Saigon]
  • A. Saigon chosen
    Saigon, now officially known as Ho Chi Minh City, is Vietnam’s largest city and a historic economic and cultural hub in the south of the country.
  • B. Saigon
    Saigon is an American rapper known for his socially conscious lyrics and work within the New York hip-hop scene.
  • C. Hanoi
    Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
  • D. Da Lat
    Da Lat is a cool, mountainous resort city in Vietnam’s Central Highlands, famed for its pine forests, colonial-era architecture, and flower gardens.
  • E. Hanoi–Ho Chi Minh City
    Hanoi–Ho Chi Minh City is Vietnam’s busiest and most important domestic air route, linking the nation’s capital in the north with its largest economic hub in the south.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2d830881908d69929b854aad66 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.