Triple

T801832
Position Surface form Disambiguated ID Type / Status
Subject North Esk River E17144 entity
Predicate hasTributary P415 FINISHED
Object Luther Water E101551 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: Luther Water | Statement: [North Esk River, hasTributary, Luther Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luther Water
Context triple: [North Esk River, hasTributary, Luther Water]
  • A. Waban
    Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
  • B. Vuoksi River
    The Vuoksi River is a major waterway in northwestern Russia and southeastern Finland, known for connecting Lake Saimaa to Lake Ladoga and playing a key historical and economic role in the region.
  • C. West Water chosen
    West Water is a tributary stream of the North Esk River in eastern Scotland.
  • D. Rednitz River
    The Rednitz River is a river in Franconia, Germany, that flows through cities such as Fürth before joining the Pegnitz to form the Regnitz.
  • E. Versoix River
    The Versoix River is a small river in western Switzerland that flows through the canton of Geneva before emptying into Lake Geneva.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9e0f0081909d2a89387d6c08e1 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83f0fb4819097f29c9ab90cf1a8 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:38 p.m.