Triple

T1764567
Position Surface form Disambiguated ID Type / Status
Subject Old Quarter E38732 entity
Predicate partOf P40 FINISHED
Object Hanoi city center E6204 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: Hanoi city center | Statement: [Old Quarter, partOf, Hanoi city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanoi city center
Context triple: [Old Quarter, partOf, Hanoi city center]
  • 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. Hoàn Kiếm District
    Hoàn Kiếm District is a central urban district of Hanoi, Vietnam, known for its historic Old Quarter, Hoàn Kiếm Lake, and role as the city’s commercial and cultural heart.
  • C. 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.
  • D. 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.
  • E. Hai Phong
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646665088190afa31bdf48f14316 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0f12fd8819099759ebcdfc19494 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.