Triple

T7815365
Position Surface form Disambiguated ID Type / Status
Subject Asian Highway 1 E180992 entity
Predicate passesThrough P225 FINISHED
Object Hanoi region E267217 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 region | Statement: [Asian Highway 1, passesThrough, Hanoi region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanoi region
Context triple: [Asian Highway 1, passesThrough, Hanoi region]
  • A. Hanoi Capital Region chosen
    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.
  • B. Hai Duong
    Hai Duong is a provincial city in northern Vietnam known as an important industrial and transportation hub between Hanoi and Hai Phong.
  • C. Hai Phong
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • D. Bac Ninh
    Bac Ninh is a province-level city in northern Vietnam known for its rich cultural heritage, traditional Quan họ folk songs, and its proximity to Hanoi in the Red River Delta region.
  • E. 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.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb147d965881908003551710a1bbff completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:39 p.m.