Triple

T11043555
Position Surface form Disambiguated ID Type / Status
Subject Lộc Ninh District E261079 entity
Predicate subdivisionName P747 FINISHED
Object Lộc Ninh District E261079 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: Lộc Ninh District | Statement: [Lộc Ninh District, subdivisionName, Lộc Ninh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lộc Ninh District
Context triple: [Lộc Ninh District, subdivisionName, Lộc Ninh District]
  • A. Loc Ninh District chosen
    Loc Ninh District is a rural district in Bình Phước Province in southern Vietnam, near the Cambodian border and historically known for its role in the Vietnam War.
  • B. Lộc Ninh
    Lộc Ninh is a township in southern Vietnam that serves as an administrative and historical center, known particularly for its role in the Vietnam War.
  • C. Vinh Thanh District
    Vinh Thanh District is a rural administrative district in Can Tho, a centrally governed city in Vietnam’s Mekong Delta region.
  • D. Truc Ninh District
    Truc Ninh District is a rural administrative district located in Nam Dinh Province in the Red River Delta region of northern Vietnam.
  • E. Binh Thuy District
    Binh Thuy District is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its historic architecture and riverside landscapes.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7982d42bc81908ac10f54a7b43fb7 completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c846d9f08190943d457ff6da6a9f completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.