Triple

T9051225
Position Surface form Disambiguated ID Type / Status
Subject Quan họ E216886 entity
Predicate associatedWith P37 FINISHED
Object Red River Delta E148494 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: Red River Delta | Statement: [Quan họ, associatedWith, Red River Delta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red River Delta
Context triple: [Quan họ, associatedWith, Red River Delta]
  • A. Red River Delta chosen
    The Red River Delta is a densely populated and fertile alluvial plain in northern Vietnam that serves as a major agricultural, economic, and cultural heartland of the country.
  • B. Hai River Delta
    The Hai River Delta is a densely populated and industrialized low-lying coastal region in northern China where the Hai River system meets the Bohai Sea.
  • C. Mekong Delta
    The Mekong Delta is a vast, fertile river delta region in southern Vietnam known for its intricate network of waterways, rice paddies, and floating markets.
  • D. Chao Phraya River delta
    The Chao Phraya River delta is a fertile, low-lying alluvial plain in central Thailand that forms the country’s main rice-growing region and hosts its capital, Bangkok.
  • E. Irrawaddy Delta
    The Irrawaddy Delta is a vast, fertile alluvial plain in southern Myanmar, known for its dense network of waterways, rice cultivation, and vulnerability to flooding and cyclones.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b54423081908d9fd985109e336a completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b5a06dc8190b0ccd0c3c36e1521 completed April 4, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:10 p.m.