Triple

T8516891
Position Surface form Disambiguated ID Type / Status
Subject Nhà tù Hỏa Lò E201594 entity
Predicate locatedIn P40 FINISHED
Object French Quarter of Hanoi E203662 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: French Quarter of Hanoi | Statement: [Nhà tù Hỏa Lò, locatedIn, French Quarter of Hanoi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Quarter of Hanoi
Context triple: [Nhà tù Hỏa Lò, locatedIn, French Quarter of Hanoi]
  • A. French Quarter of Hanoi chosen
    The French Quarter of Hanoi is a historic district known for its wide boulevards, French colonial architecture, embassies, and upscale hotels and shops.
  • B. 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.
  • C. Nguyen Hue Walking Street
    Nguyen Hue Walking Street is a popular pedestrian boulevard in central Ho Chi Minh City known for its open-air events, fountains, and vibrant nightlife.
  • D. Phúc Xá Ward
    Phúc Xá Ward is an urban administrative subdivision of Ba Đình District in central Hanoi, Vietnam.
  • E. Pho Hue Street
    Pho Hue Street is a major thoroughfare in Hanoi, Vietnam, known for its mix of traditional shophouses, eateries, and busy urban traffic.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62550908190af882019d68a904a completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb6855ec8190a85e5afeb656ee7d completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:15 p.m.