Triple

T19740083
Position Surface form Disambiguated ID Type / Status
Subject Dauphin, Manitoba E474090 entity
Predicate namedAfter P63 FINISHED
Object Lake Dauphin 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 Dauphin | Statement: [Dauphin, Manitoba, namedAfter, Lake Dauphin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Dauphin
Context triple: [Dauphin, Manitoba, namedAfter, Lake Dauphin]
  • A. Lake Dauphin chosen
    Lake Dauphin is a freshwater lake in western Manitoba, Canada, known for its recreational fishing, boating, and proximity to the community of Dauphin.
  • B. Lake Champfèr
    Lake Champfèr is a scenic alpine lake in Switzerland’s Upper Engadine valley, known for its clear waters and surrounding mountain landscapes.
  • C. Lake Winthrop
    Lake Winthrop is a recreational freshwater lake in Holliston, Massachusetts, known for activities such as swimming, boating, and fishing.
  • D. Lake Audubon
    Lake Audubon is a man-made residential lake in Reston, Virginia, known for its waterfront homes, recreational boating, and scenic walking paths.
  • E. Lake DeForest
    Lake DeForest is a man-made reservoir in Rockland County, New York, that serves as a major drinking water source for surrounding communities and lies within the Hackensack River watershed.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651607e388190bbb2aaed252820fe completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.