Triple

T11684168
Position Surface form Disambiguated ID Type / Status
Subject Ung Hoa District E277695 entity
Predicate borders P224 FINISHED
Object Chuong My District E285331 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: Chuong My District | Statement: [Ung Hoa District, borders, Chuong My District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuong My District
Context triple: [Ung Hoa District, borders, Chuong My District]
  • A. Chuong My District chosen
    Chuong My District is a rural administrative district of Hanoi, Vietnam, known for its agricultural landscape and traditional craft villages.
  • B. Thanh Chuong District
    Thanh Chuong District is a rural administrative district in Nghệ An Province, Vietnam, known for its hilly terrain and agricultural economy.
  • C. Tan Binh District
    Tan Binh District is an urban district of Ho Chi Minh City, Vietnam, known for hosting Tan Son Nhat International Airport and being a major commercial and transportation hub.
  • D. Nam Truc District
    Nam Truc District is a rural administrative district in Nam Định Province in Vietnam’s Red River Delta region.
  • E. Con Cuong District
    Con Cuong District is a rural mountainous district in western Nghệ An Province, Vietnam, known for its forests, ethnic minority communities, and proximity to Pù Mát 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7133d88190813a1e74ef310993 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:40 p.m.