Triple

T16873649
Position Surface form Disambiguated ID Type / Status
Subject Ridgefield, Washington E421239 entity
Predicate hasNearbyBodyOfWater P8567 FINISHED
Object Lake 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: Lake River | Statement: [Ridgefield, Washington, hasNearbyBodyOfWater, Lake River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake River
Context triple: [Ridgefield, Washington, hasNearbyBodyOfWater, Lake River]
  • A. Lake River chosen
    Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
  • B. Pine River
    Pine River is a Canadian river that serves as a tributary of the Peace River in western Canada.
  • C. Pine River
    Pine River is a waterway located within Michigan’s remote and rugged Huron Mountains region.
  • D. Pine River
    Pine River is a freshwater river flowing through Florence County in northeastern Wisconsin, known for its forested surroundings and outdoor recreation opportunities.
  • E. Pine River
    Pine River is a Canadian waterway that serves as a tributary within the Nottawasaga River watershed in Ontario.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f40410819088db22fa0d1eb808 completed April 18, 2026, 4:57 p.m.
Created at: April 10, 2026, 5:29 a.m.