Triple

T17328554
Position Surface form Disambiguated ID Type / Status
Subject Ziya River E420752 entity
Predicate tributaryOf P415 FINISHED
Object Hai River 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: Hai River | Statement: [Ziya River, tributaryOf, Hai River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hai River
Context triple: [Ziya River, tributaryOf, Hai River]
  • A. Hai River chosen
    The Hai River is a major river system in northern China that flows through the Beijing–Tianjin region into the Bohai Sea, playing a crucial role in regional water supply, agriculture, and transportation.
  • B. Hieu River
    Hieu River is a tributary waterway in Vietnam that feeds into the larger Ca River system.
  • C. Hoang Long River
    Hoang Long River is a river in northern Vietnam that flows through Ninh Binh Province, contributing to the region’s agriculture and landscape.
  • D. Bao River
    The Bao River is a tributary waterway in the Dominican Republic that feeds into the Yaque del Norte, the country’s longest and most significant river.
  • E. Ou River
    The Ou River is a major river in southeastern China that flows through Zhejiang Province and empties into the East China Sea near the city of Wenzhou.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
Created at: April 10, 2026, 5:43 a.m.