Triple

T21398503
Position Surface form Disambiguated ID Type / Status
Subject Trần Trọng Kim E527849 entity
Predicate workLocation P7 FINISHED
Object Hanoi 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: Hanoi | Statement: [Trần Trọng Kim, workLocation, Hanoi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanoi
Context triple: [Trần Trọng Kim, workLocation, Hanoi]
  • A. Hanoi chosen
    Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
  • B. Saigon
    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.
  • C. Hai Phong
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • D. 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.
  • E. Thu Duc City
    Thu Duc City is an eastern municipal city within Ho Chi Minh City (Saigon), Vietnam, formed by merging several urban districts into a major innovation and technology hub.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62ce3c5c81909e1e584e2f6667c8 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:14 p.m.