Triple

T3927331
Position Surface form Disambiguated ID Type / Status
Subject Nam Kỳ E93306 entity
Predicate contains P35 FINISHED
Object Biên Hòa E96997 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: Biên Hòa | Statement: [Nam Kỳ, contains, Biên Hòa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biên Hòa
Context triple: [Nam Kỳ, contains, Biên Hòa]
  • A. Biên Hòa chosen
    Biên Hòa is a major industrial city in southern Vietnam, located near Ho Chi Minh City along the Đồng Nai River.
  • B. Thu Duc City
    Thu Duc City is an eastern municipal city within Ho Chi Minh City (Saigon), Vietnam, formed by merging several urban districts into a major innovation and technology hub.
  • C. Vung Tau
    Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
  • D. Binh Duong Province
    Binh Duong Province is an industrially developed province in southern Vietnam, located just north of Ho Chi Minh City along key waterways and transport routes.
  • E. Bac Lieu
    Bac Lieu is a coastal province in southern Vietnam known for its rice fields, shrimp farming, and distinctive culture within the Mekong Delta region.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52878184c8190980af506bb03d5db completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:23 p.m.