Triple

T16319201
Position Surface form Disambiguated ID Type / Status
Subject Cochinchina campaign E396246 entity
Predicate location P40 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: [Cochinchina campaign, location, Bien Hoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bien Hoa
Context triple: [Cochinchina campaign, location, 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b4ad448190b2b195a5e0032c6e completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260904748190ae1eb5713a6daa68 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.