Triple

T23529145
Position Surface form Disambiguated ID Type / Status
Subject Hung Nguyen District E576514 entity
Predicate near P350 FINISHED
Object Vinh NE NERFINISHED

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: Vinh | Statement: [Hung Nguyen District, near, Vinh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinh
Context triple: [Hung Nguyen District, near, Vinh]
  • A. Vinh chosen
    Vinh is a major city in north-central Vietnam, serving as the economic and cultural center of Nghệ An Province.
  • B. Tra Vinh
    Tra Vinh is a coastal province in Vietnam’s Mekong Delta region, known for its large Khmer community, numerous pagodas, and rich riverine landscapes.
  • C. Viet Tri City
    Viet Tri City is an urban and industrial center in northern Vietnam known as a regional hub for administration, transportation, and manufacturing.
  • 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. Rach Gia
    Rach Gia is a coastal city in Vietnam’s Kien Giang Province, known as a gateway to the Gulf of Thailand and nearby islands such as Phu Quoc.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac7646a48190b5dcbaf8c0c194df completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.