Triple

T7119667
Position Surface form Disambiguated ID Type / Status
Subject Hexi District E165915 entity
Predicate traversedBy P225 FINISHED
Object Hai River E69706 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: Hai River | Statement: [Hexi District, traversedBy, Hai River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hai River
Context triple: [Hexi District, traversedBy, 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. 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.
  • C. 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.
  • D. Kien Giang River
    Kien Giang River is a river in Quang Binh Province, Vietnam, known for flowing through Le Thuy District and supporting local agriculture and transportation.
  • E. Cau-Cau River
    The Cau-Cau River is a waterway in southern Chile that flows through the city of Valdivia, contributing to its network of navigable rivers and wetlands.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61ca6a88190a0eb9f287e3b723c completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eec29d8c81909d9123b48b195f98 completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:43 p.m.