Triple

T9514103
Position Surface form Disambiguated ID Type / Status
Subject Bratenahl E229478 entity
Predicate hasShorelineOn P212 FINISHED
Object Lake Erie E7455 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 Erie | Statement: [Bratenahl, hasShorelineOn, Lake Erie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Erie
Context triple: [Bratenahl, hasShorelineOn, Lake Erie]
  • A. Lake Erie chosen
    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.
  • B. Lake Ontario
    Lake Ontario is one of North America's five Great Lakes, forming part of the border between the United States and Canada and serving as a key link in the Saint Lawrence River system.
  • C. 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.
  • D. Lake Michigan
    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.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd986bfcac8190aa97f8975cb17f6c completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15261b31881908c1059d704e56bf6 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:58 p.m.