Triple

T5491009
Position Surface form Disambiguated ID Type / Status
Subject Republic of Vietnam Navy E123699 entity
Predicate operatedIn P40 FINISHED
Object Perfume River E460589 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: Perfume River | Statement: [Republic of Vietnam Navy, operatedIn, Perfume River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perfume River
Context triple: [Republic of Vietnam Navy, operatedIn, Perfume River]
  • A. Perfume River chosen
    The Perfume River is a scenic river in central Vietnam renowned for flowing through the historic city of Huế and its imperial landmarks.
  • B. La Grande River
    La Grande River is a major river in northwestern Quebec, Canada, known for its large hydroelectric developments and its drainage into James Bay, an arm of Hudson Bay.
  • C. La Rive
    La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
  • D. La Rivière
    La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
  • E. Addalam River
    The Addalam River is a significant waterway in the Cagayan Valley region of the Philippines, contributing to local agriculture, ecosystems, and communities.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927f198c8190889b555be9bf9765 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48ada0548190aea4c6bd9013118f completed March 22, 2026, 1:41 a.m.
Created at: March 20, 2026, 2:10 p.m.