Triple

T58151
Position Surface form Disambiguated ID Type / Status
Subject Great Lakes E1151 entity
Predicate consistsOf P1393 FINISHED
Object Lake Michigan E406 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: Lake Michigan | Statement: [Great Lakes, consistsOf, Lake Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Michigan
Context triple: [Great Lakes, consistsOf, Lake Michigan]
  • A. Lake Michigan chosen
    Lake Michigan is one of North America’s five Great Lakes, a large freshwater lake bordered by the U.S. states of Illinois, Indiana, Michigan, and Wisconsin.
  • B. Lake Huron
    Lake Huron is one of North America's five Great Lakes, known for its vast size, clear waters, and extensive shoreline dotted with islands, including Manitoulin Island, the world's largest freshwater island.
  • C. Lake Superior
    Lake Superior is the largest and northernmost of North America's Great Lakes, renowned for its vast size, cold clear waters, and rugged surrounding shoreline.
  • D. Lake Erie
    Lake Erie is one of North America's five Great Lakes, known for its relatively shallow depth, rich fisheries, and major role in regional shipping and recreation.
  • E. Great Lake
    The Great Lake is an expansive ornamental body of water forming a dramatic focal point within the landscaped grounds of Blenheim Palace in Oxfordshire, England.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24ec4d84c81908d85a1e941dbcd19 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee84cbd08190a0eda3a148aea6c5 completed Feb. 28, 2026, 1:32 p.m.
Created at: Feb. 28, 2026, 1:50 a.m.