Triple

T8552787
Position Surface form Disambiguated ID Type / Status
Subject Bồ Đề E202483 entity
Predicate partOf P40 FINISHED
Object Hanoi municipality 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 municipality | Statement: [Bồ Đề, partOf, Hanoi municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanoi municipality
Context triple: [Bồ Đề, partOf, Hanoi municipality]
  • 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. Hanoi Capital Region
    The Hanoi Capital Region is a key metropolitan and administrative area in northern Vietnam centered on Hanoi, serving as the country’s political hub and a major economic and cultural center.
  • 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. Hai Phong
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • E. Nam Tu Liem District
    Nam Tu Liem District is an urban district of Hanoi, Vietnam, known for its rapid development, major sports complexes, and growing residential and commercial areas.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8882704819094b688d46169433a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0542fccd081908e1359cc71ba6774 completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 6:19 p.m.