Triple

T8383477
Position Surface form Disambiguated ID Type / Status
Subject Đống Đa victory E197753 entity
Predicate hasLocation P40 FINISHED
Object Đống Đa, Hanoi E39473 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: Đống Đa, Hanoi | Statement: [Đống Đa victory, hasLocation, Đống Đa, Hanoi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Đống Đa, Hanoi
Context triple: [Đống Đa victory, hasLocation, Đống Đa, Hanoi]
  • A. Đống Đa District chosen
    Đống Đa District is a central urban district of Hanoi, Vietnam, known for its dense population, historical sites, and role as a major commercial and educational hub of the capital.
  • 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. Nghĩa Đô Ward
    Nghĩa Đô Ward is an urban administrative ward located within Hanoi, Vietnam, known as part of the Cầu Giấy District.
  • D. 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.
  • E. Ba Đình District
    Ba Đình District is a central urban district of Hanoi, Vietnam, known as the political heart of the country and home to key government buildings and historical sites.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80ded0ec81909771482e1a015a67 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde826ebdc81909242805e48991e7d completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:02 p.m.