Triple

T15809740
Position Surface form Disambiguated ID Type / Status
Subject Blind River, Ontario E383313 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Blind River E156996 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: Blind River | Statement: [Blind River, Ontario, hasBodyOfWater, Blind River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blind River
Context triple: [Blind River, Ontario, hasBodyOfWater, Blind River]
  • A. Blind River chosen
    Blind River is a small town in Ontario, Canada, situated on the shores of Lake Huron and known for its forestry, mining history, and outdoor recreation.
  • B. Light River
    Light River is a river in South Australia that flows through agricultural regions before emptying into Gulf St Vincent.
  • C. Heart River
    Heart River is a tributary of the Missouri River in western North Dakota that flows through the city of Dickinson.
  • D. Heart River
    Heart River is a Canadian river in Alberta that serves as a tributary of the Peace River within the Mackenzie River drainage basin.
  • E. Royal River
    The Royal River is a small coastal river in southern Maine that flows through several towns before emptying into Casco Bay.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b529c6b481909664153ecc381f7c completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa131784c8190bd6aba2cca084d20 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.