Triple

T13248639
Position Surface form Disambiguated ID Type / Status
Subject Lower Sydenham E315469 entity
Predicate nearbyArea P2064 FINISHED
Object Forest Hill E205474 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: Forest Hill | Statement: [Lower Sydenham, nearbyArea, Forest Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Hill
Context triple: [Lower Sydenham, nearbyArea, Forest Hill]
  • A. Forest Hill
    Forest Hill is an affluent residential neighbourhood in midtown Toronto, Ontario, known for its upscale homes and prestigious schools.
  • B. Forest Hill chosen
    Forest Hill is a residential district in the London Borough of Lewisham, known for its hilly streets, green spaces, and the Horniman Museum and Gardens.
  • C. Forest Hill
    Forest Hill is a suburban area in Melbourne, Australia, known for its residential character and proximity to parks and waterways.
  • D. Walnut Hill
    Walnut Hill is a residential neighborhood in West Philadelphia known for its early 20th-century rowhouses and proximity to several universities.
  • E. Cramer Hill
    Cramer Hill is a residential neighborhood in the eastern part of Camden, New Jersey, known for its diverse community and proximity to the Delaware River.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d9e7ea881908abc4b3a54896692 completed April 10, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7305c5f8081908bbe19f2a644acc5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:24 p.m.