Triple

T3210542
Position Surface form Disambiguated ID Type / Status
Subject Maple Leaf Gardens E67267 entity
Predicate designedBy P184 FINISHED
Object Mackenzie Waters E67267 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: Mackenzie Waters | Statement: [Maple Leaf Gardens, designedBy, Mackenzie Waters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mackenzie Waters
Context triple: [Maple Leaf Gardens, designedBy, Mackenzie Waters]
  • A. Mackenzie Waters chosen
    Mackenzie Waters was a Canadian architect best known for designing Toronto’s historic Maple Leaf Gardens, one of hockey’s most iconic arenas.
  • B. Kirkland Lake
    Kirkland Lake is a historic gold mining town in northeastern Ontario, Canada, known for its long-standing mining industry and small-town character.
  • C. Watson Lake
    Watson Lake is a scenic reservoir in central Arizona known for its striking granite boulder formations, kayaking, and hiking opportunities.
  • D. Watson Lake
    Watson Lake is a small town in southeastern Yukon, Canada, known as a key stop on the Alaska Highway and home to the famous Sign Post Forest.
  • E. Baker Lake
    Baker Lake is a high-elevation alpine lake in eastern Nevada, known for its scenic mountain setting and backcountry hiking and fishing opportunities.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab886c48190b72e36d0ac855ffe completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2622d4e988190a8a98a0bc9353e3f completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.