Triple

T6596758
Position Surface form Disambiguated ID Type / Status
Subject Red River Delta E148494 entity
Predicate hasProvince P285 FINISHED
Object Ninh Binh E168334 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: Ninh Binh | Statement: [Red River Delta, hasProvince, Ninh Binh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ninh Binh
Context triple: [Red River Delta, hasProvince, Ninh Binh]
  • A. Ninh Binh Province chosen
    Ninh Binh Province is a northern Vietnamese province renowned for its karst landscapes, rice paddies, and river caves, including the UNESCO-listed Trang An Scenic Landscape Complex.
  • B. Ha Nam Province
    Ha Nam Province is a small, predominantly rural province in Vietnam’s Red River Delta region, known for its agriculture, traditional craft villages, and proximity to the capital city Hanoi.
  • C. Hai Duong
    Hai Duong is a provincial city in northern Vietnam known as an important industrial and transportation hub between Hanoi and Hai Phong.
  • D. Ninh Binh City
    Ninh Binh City is an urban center in northern Vietnam known as the gateway to the scenic karst landscapes and cultural sites of the surrounding Ninh Binh Province.
  • E. Ha Tinh Province
    Ha Tinh Province is a coastal province in north-central Vietnam known for its agricultural economy, historical sites, and vulnerability to severe weather and flooding.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf66c0308190a09736eafe61c966 completed March 28, 2026, 11:45 a.m.
Created at: March 27, 2026, 1:56 p.m.