Triple

T12813687
Position Surface form Disambiguated ID Type / Status
Subject Toronto street network E306335 entity
Predicate includesRoad P85887 FINISHED
Object King Street 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: King Street | Statement: [Toronto street network, includesRoad, King Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Street
Context triple: [Toronto street network, includesRoad, King Street]
  • A. King Street
    King Street is a historic and prestigious street in Manchester, England, known for its high-end shops, offices, and notable architecture.
  • B. King Street
    King Street is a major thoroughfare in San Francisco that runs through the South of Market area and serves as a key access route to the city’s Caltrain terminal and nearby waterfront attractions.
  • C. King Street chosen
    King Street is a major east–west thoroughfare in downtown Toronto, Ontario, known for its theatres, restaurants, and role as a key commercial and entertainment corridor.
  • D. King Street
    King Street is a named section of the A315 road in London, known as a busy urban thoroughfare lined with shops and local businesses.
  • E. King Street
    King Street is a notable street in the centre of Cambridge, England, known for its traditional pubs and proximity to the city’s historic colleges 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:31 p.m.