Triple

T6365821
Position Surface form Disambiguated ID Type / Status
Subject Nghe An Province E143226 entity
Predicate capital P234 FINISHED
Object Vinh E573759 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: Vinh | Statement: [Nghe An Province, capital, Vinh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinh
Context triple: [Nghe An Province, capital, 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. 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.
  • C. Nam Dinh City
    Nam Dinh City is the capital and largest urban center of Nam Dinh Province in northern Vietnam, known historically as an important cultural and industrial hub in the Red River Delta.
  • D. Long Xuyen
    Long Xuyen is a major city in Vietnam’s Mekong Delta region, serving as the capital of An Giang Province and an important economic and cultural center.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068106e18819087ed2e9841d2b365 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d7a1cbc8190a27a0a8e8b466ad5 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.