Triple

T12813703
Position Surface form Disambiguated ID Type / Status
Subject Toronto street network E306335 entity
Predicate includesRoad P85887 FINISHED
Object Kingston Road 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: Kingston Road | Statement: [Toronto street network, includesRoad, Kingston Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston Road
Context triple: [Toronto street network, includesRoad, Kingston Road]
  • A. Kingston Road chosen
    Kingston Road is a major arterial thoroughfare in Scarborough, Toronto, forming part of the historic route linking downtown Toronto with communities to the east.
  • B. Kingsland Road
    Kingsland Road is a major thoroughfare in East London known for its mix of shops, nightlife, and diverse local culture.
  • C. Wellington Road
    Wellington Road is a major thoroughfare in the St John’s Wood area of northwest London, known for its residential character and proximity to landmarks such as Lord’s Cricket Ground.
  • D. Warwick Road
    Warwick Road is a street in the Old Trafford area of Greater Manchester, England, known for its proximity to major sports venues and public transport links.
  • E. Warwick Road
    Warwick Road is a major thoroughfare in Coventry, England, known for connecting the city centre with key locations including Coventry railway station and local residential and commercial 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.