Triple

T20354477
Position Surface form Disambiguated ID Type / Status
Subject Bogra E496105 entity
Predicate river P165 FINISHED
Object Karatoa 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: Karatoa River | Statement: [Bogra, river, Karatoa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karatoa River
Context triple: [Bogra, river, Karatoa River]
  • A. Karatoa River chosen
    The Karatoa River is a historically significant river in northern Bangladesh that has shaped regional trade, agriculture, and settlement patterns over centuries.
  • B. Magaguadavic River
    The Magaguadavic River is a river in southwestern New Brunswick, Canada, that flows southward from inland lakes to the Bay of Fundy.
  • C. Datze River
    The Datze River is a smaller watercourse in northeastern Germany that feeds into the larger Peene River system.
  • D. Aripuanã River
    The Aripuanã River is a significant waterway in western Brazil that flows through the Amazon rainforest and ultimately joins the Madeira River, contributing to the Amazon Basin.
  • E. Kourou River
    The Kourou River is a waterway in French Guiana that flows through the town of Kourou before emptying into the Atlantic Ocean.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67852ca9881908a5af18005639859 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.