Triple

T10701806
Position Surface form Disambiguated ID Type / Status
Subject Burnaby E252294 entity
Predicate hasLake P1025 FINISHED
Object Deer Lake E425359 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: Deer Lake | Statement: [Burnaby, hasLake, Deer Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deer Lake
Context triple: [Burnaby, hasLake, Deer Lake]
  • A. Deer Lake chosen
    Deer Lake is a scenic residential and recreational area in Burnaby, British Columbia, known for its lakeside park, cultural facilities, and walking trails.
  • B. Decker Lake
    Decker Lake is a man-made reservoir near Austin, Texas, used for recreation, fishing, and power plant cooling.
  • C. Vandercook Lake
    Vandercook Lake is a small inland lake and surrounding community area located near the city of Jackson in south-central Michigan.
  • D. Wyandot Lake
    Wyandot Lake was a former amusement and water park in the Columbus, Ohio area that later became part of the Zoombezi Bay water park complex.
  • E. Spruce Lake
    Spruce Lake is a small lake located near the community of Elliot Lake in Ontario, Canada, known primarily as part of the region’s network of surrounding lakes.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8c835c8190bf1a67ee94195926 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd19164481909c2f35fbebf6150e completed May 9, 2026, 7:07 a.m.
Created at: April 8, 2026, 9:12 p.m.