Triple

T22455200
Position Surface form Disambiguated ID Type / Status
Subject York—Simcoe E555096 entity
Predicate containsCommunity P8617 FINISHED
Object Mount Albert NE NERFINISHED

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: Mount Albert | Statement: [York—Simcoe, containsCommunity, Mount Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Albert
Context triple: [York—Simcoe, containsCommunity, Mount Albert]
  • A. Mount Albert
    Mount Albert is a parliamentary electorate in Auckland, New Zealand, known for being represented by prominent Labour Party leaders including former Prime Minister Jacinda Ardern.
  • B. Mount Albert
    Mount Albert is a volcanic peak and residential suburb in Auckland, New Zealand, known for its prominent scoria cone and surrounding urban community.
  • C. Mount Albert chosen
    Mount Albert is a small rural community in the town of East Gwillimbury, Ontario, known for its village character and surrounding farmland.
  • D. Mount Roskill
    Mount Roskill is a suburban area and volcanic cone in Auckland, New Zealand, known for its diverse community and residential character.
  • E. East Tāmaki Heights
    East Tāmaki Heights is a residential suburb in the eastern part of Auckland, New Zealand, known for its modern housing developments and proximity to local schools, parks, and shopping areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4e2bd4819083e5bed44e9776c6 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.