Triple

T6721363
Position Surface form Disambiguated ID Type / Status
Subject Cat Bi International Airport E153402 entity
Predicate cityServed P82 FINISHED
Object Hai Phong E28530 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: Hai Phong | Statement: [Cat Bi International Airport, cityServed, Hai Phong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hai Phong
Context triple: [Cat Bi International Airport, cityServed, Hai Phong]
  • A. Hai Phong chosen
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • B. Hanoi
    Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
  • 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. Vinh
    Vinh is a major city in north-central Vietnam, serving as the economic and cultural center of Nghệ An Province.
  • E. Dong Hoi City
    Dong Hoi City is the coastal capital and largest urban center of Quang Binh Province in central Vietnam, known as a gateway to the Phong Nha–Ke Bang National Park.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d13861a08190ad19a16dcd76c908 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f8255ac81909e7732947d2a5f53 completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:07 p.m.