Triple

T22555432
Position Surface form Disambiguated ID Type / Status
Subject Nhat Le River E557667 entity
Predicate flowsThrough P225 FINISHED
Object Dong Hoi city 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: Dong Hoi city | Statement: [Nhat Le River, flowsThrough, Dong Hoi city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong Hoi city
Context triple: [Nhat Le River, flowsThrough, Dong Hoi city]
  • A. Dong Hoi City chosen
    Dong Hoi City is the coastal capital and largest urban center of Quang Binh Province in central Vietnam, known as a gateway to the Phong Nha–Ke Bang National Park.
  • B. Ha Tinh City
    Ha Tinh City is an urban center in north-central Vietnam that serves as the political, economic, and cultural hub of Ha Tinh Province.
  • C. Phu Ly City
    Phu Ly City is the capital and main urban, economic, and administrative center of Ha Nam Province in northern Vietnam.
  • D. Quang Ngai City
    Quang Ngai City is an urban center in central Vietnam known as the political, economic, and cultural hub of Quang Ngai Province.
  • E. 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.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f78d8288190871d54db0a7f454b completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.