Triple

T6934653
Position Surface form Disambiguated ID Type / Status
Subject Brig Lawrence E160523 entity
Predicate theater P1060 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: [Brig Lawrence, theater, Lake Erie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Erie
Context triple: [Brig Lawrence, theater, 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da429b5c8190a59901e0005a5415 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751058e808190b3f9e7f9e5f68327 completed March 28, 2026, 3:54 a.m.
Created at: March 27, 2026, 2:27 p.m.