Triple

T2448829
Position Surface form Disambiguated ID Type / Status
Subject Old Toronto E53654 entity
Predicate contains P35 FINISHED
Object Kensington Market E107728 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: Kensington Market | Statement: [Old Toronto, contains, Kensington Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensington Market
Context triple: [Old Toronto, contains, Kensington Market]
  • A. Kensington Market chosen
    Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
  • B. Fitzrovia
    Fitzrovia is a central London neighborhood known for its mix of historic architecture, creative industries, and a vibrant dining and nightlife scene.
  • C. Temple Bar district
    Temple Bar district is a historic and lively cultural quarter in central Dublin known for its cobbled streets, pubs, nightlife, and arts venues.
  • D. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • E. Barbican district
    The Barbican district is Plymouth’s historic harbourside quarter, known for its cobbled streets, preserved Elizabethan architecture, and vibrant waterfront pubs, restaurants, and galleries.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0dc7ed88190920afd4817c621c9 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9060a6b88190b80e5fb0970957e1 completed March 10, 2026, 3:30 a.m.
Created at: March 6, 2026, 9:43 p.m.