Triple

T17514977
Position Surface form Disambiguated ID Type / Status
Subject Biên Hòa Air Base E426544 entity
Predicate locatedIn P40 FINISHED
Object Biên Hòa NE NERFINISHED

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: [Biên Hòa Air Base, locatedIn, Biên Hòa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biên Hòa
Context triple: [Biên Hòa Air Base, locatedIn, 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. Thai Binh City
    Thai Binh City is an urban center in northern Vietnam that serves as the political, economic, and cultural hub of Thai Binh Province.
  • C. Viet Tri City
    Viet Tri City is an urban and industrial center in northern Vietnam known as a regional hub for administration, transportation, and manufacturing.
  • D. Ca Mau City
    Ca Mau City is a southern Vietnamese urban center known as the country’s southernmost city and a regional hub for fishing, agriculture, and trade in the Mekong Delta.
  • E. Rach Gia
    Rach Gia is a coastal city in Vietnam’s Kien Giang Province, known as a gateway to the Gulf of Thailand and nearby islands such as Phu Quoc.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525fa0c48190b42b36c40db7ed7f completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.