Triple

T10012183
Position Surface form Disambiguated ID Type / Status
Subject Deep River, Ontario E199399 entity
Predicate governingBody P46 FINISHED
Object Deep River Town Council E585728 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: Deep River Town Council | Statement: [Deep River, Ontario, governingBody, Deep River Town Council]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deep River Town Council
Context triple: [Deep River, Ontario, governingBody, Deep River Town Council]
  • A. Town of Deep River chosen
    The Town of Deep River is a small Canadian community in eastern Ontario known for its location along the Ottawa River and its historical ties to the nearby Chalk River nuclear research facilities.
  • B. Deep River Township
    Deep River Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
  • C. Deep River
    Deep River is a significant waterway in central North Carolina that flows through several counties and contributes to the Cape Fear River basin.
  • D. Deep River
    Deep River is a small rural city located in Poweshiek County in the state of Iowa, United States.
  • E. Deep River
    Deep River is a waterway in northwestern Indiana that flows through Lake County and serves as a tributary of the Little Calumet River.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd3cf5b881908f5318e55bdd22b6 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a858c848190887a035a9ac04c5e completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.