Triple

T14064547
Position Surface form Disambiguated ID Type / Status
Subject Soai Rap River E338431 entity
Predicate watercourseSystem P1009 FINISHED
Object Saigon River E41500 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: Saigon River | Statement: [Soai Rap River, watercourseSystem, Saigon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saigon River
Context triple: [Soai Rap River, watercourseSystem, Saigon River]
  • A. Saigon River chosen
    The Saigon River is a major waterway in southern Vietnam that flows through Ho Chi Minh City and serves as an important route for transport, trade, and urban life.
  • B. Tam Diep
    Tam Diep is a town in northern Vietnam known for its location in Ninh Binh Province and its role as a local administrative and commercial center.
  • C. Lan River
    The Lan River is a tributary waterway in eastern China that forms part of the Qiantang River system.
  • D. Dong Nai River
    The Đồng Nai River is a major river in southern Vietnam that flows through several provinces and plays a crucial role in the region’s ecology, agriculture, and hydropower production.
  • E. Tra Ly River
    The Tra Ly River is a significant waterway in northern Vietnam that flows through Thai Binh Province, supporting local agriculture, transportation, and livelihoods.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09db51c8190ab275e68b1aec120 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.