Triple

T10669391
Position Surface form Disambiguated ID Type / Status
Subject Hưng Yên Province E251444 entity
Predicate hasCity P316 FINISHED
Object Hưng Yên City E879503 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: Hưng Yên City | Statement: [Hưng Yên Province, hasCity, Hưng Yên City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hưng Yên City
Context triple: [Hưng Yên Province, hasCity, Hưng Yên City]
  • A. Hưng Yên City chosen
    Hưng Yên City is an urban center in northern Vietnam that serves as the political, economic, and cultural hub of Hưng Yên Province.
  • B. Hưng Yên Province
    Hưng Yên Province is a small, predominantly agricultural province in Vietnam’s Red River Delta region, known for its longan fruit and proximity to Hanoi.
  • C. Phú Xuyên District
    Phú Xuyên District is a rural administrative district located on the southern outskirts of Hanoi, Vietnam, known for traditional craft villages and agriculture.
  • D. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • E. Huaying City
    Huaying City is a county-level city in eastern Sichuan Province, China, administered by Guang’an and known for its hilly terrain and red tourism sites linked to revolutionary history.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f861513881909b44c711371086b7 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:09 p.m.