Triple

T9870312
Position Surface form Disambiguated ID Type / Status
Subject Ben Nghe Ward E239938 entity
Predicate adjacentTo P224 FINISHED
Object the 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: the Saigon River | Statement: [Ben Nghe Ward, adjacentTo, the Saigon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Saigon River
Context triple: [Ben Nghe Ward, adjacentTo, the 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. 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.
  • D. Lan River
    The Lan River is a tributary waterway in eastern China that forms part of the Qiantang River system.
  • E. 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.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d62628819094786a49b9bcd09b completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299c51ea08190902e03552fbe7ebb completed April 5, 2026, 5:20 p.m.
Created at: March 30, 2026, 8:36 p.m.