Triple

T17689500
Position Surface form Disambiguated ID Type / Status
Subject Leslie Street Spit E440985 entity
Predicate near P350 FINISHED
Object Port Lands E1282932 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: Port Lands | Statement: [Leslie Street Spit, near, Port Lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Lands
Context triple: [Leslie Street Spit, near, Port Lands]
  • A. Port Lands chosen
    Port Lands is a large industrial and redevelopment district on Toronto’s waterfront known for its port facilities, film studios, and ongoing urban revitalization projects.
  • B. Harbour City
    Harbour City is the coastal British Columbia city of Nanaimo, known for its busy port, waterfront, and maritime character.
  • C. Harbour City
    Harbour City is the nickname of Tema, a major port and industrial city on the Atlantic coast of Ghana.
  • D. Harbourside
    Harbourside is Bristol’s regenerated waterfront district, known for its cultural attractions, restaurants, and scenic views along the city’s historic docks.
  • E. Harbourside
    Harbourside is a residential neighborhood in the city of Irvine, California, known for its planned suburban layout and proximity to local amenities.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704a6bb4819083752285baf3b3ee completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242ea294881909a7fba74d41ceb87 completed May 11, 2026, 8:58 p.m.
Created at: April 10, 2026, 10:03 a.m.