Triple

T10878600
Position Surface form Disambiguated ID Type / Status
Subject Dong Nai Province E256861 entity
Predicate largestCity P235 FINISHED
Object Bien Hoa E891513 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: Bien Hoa | Statement: [Dong Nai Province, largestCity, Bien Hoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bien Hoa
Context triple: [Dong Nai Province, largestCity, Bien Hoa]
  • A. Bien Hoa chosen
    Bien Hoa is a major industrial city in southern Vietnam, located near Ho Chi Minh City and known for its large manufacturing zones and economic importance.
  • B. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • C. Thuan An
    Thuan An is a rapidly developing urban town in southern Vietnam known for its industrial zones and proximity to Ho Chi Minh City.
  • D. Pleiku
    Pleiku is a city in Vietnam’s Central Highlands known as a regional hub for coffee production and as a strategic site during the Vietnam War.
  • E. Phan Rang
    Phan Rang is a coastal city in south-central Vietnam, known historically as a Cham cultural center and now as the capital of Ninh Thuận Province.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ae92548190a3563c5b18650a32 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2168b4ba48190b68955ec17a5607b completed April 17, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:21 p.m.