Triple

T1790054
Position Surface form Disambiguated ID Type / Status
Subject Trúc Bạch Lake E39474 entity
Predicate locatedIn P40 FINISHED
Object central Hanoi E38733 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: central Hanoi | Statement: [Trúc Bạch Lake, locatedIn, central Hanoi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Hanoi
Context triple: [Trúc Bạch Lake, locatedIn, central Hanoi]
  • A. Hanoi
    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 chosen
    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. French Quarter of Hanoi
    The French Quarter of Hanoi is a historic district known for its wide boulevards, French colonial architecture, embassies, and upscale hotels and shops.
  • D. 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.
  • E. Indochina Plaza Hanoi
    Indochina Plaza Hanoi is a mixed-use commercial and residential complex in Hanoi known for its modern shopping mall, offices, and high-end apartments.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6512804c8190a5743c10bd37f83f completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0305b6d08190804da5445e1f54d9 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:32 p.m.