Triple

T15488316
Position Surface form Disambiguated ID Type / Status
Subject Wellesley Street E377109 entity
Predicate hasIntersection P1018 FINISHED
Object Jarvis Street E109512 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: Jarvis Street | Statement: [Wellesley Street, hasIntersection, Jarvis Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarvis Street
Context triple: [Wellesley Street, hasIntersection, Jarvis Street]
  • A. Jarvis Street chosen
    Jarvis Street is a major north–south thoroughfare in downtown Toronto, Ontario, known for its historic buildings and proximity to key city landmarks.
  • B. Kaeson Street
    Kaeson Street is a major thoroughfare in Pyongyang, North Korea, known for its prominent monuments and central role in the city's urban landscape.
  • C. Elliot Street
    Elliot Street is a roadway in the Upper Falls village of Newton, Massachusetts, serving as a local thoroughfare through the neighborhood.
  • D. Nevins Street
    Nevins Street is a New York City Subway station in Downtown Brooklyn that serves as a key stop on the IRT Eastern Parkway Line.
  • E. Hillhouse Avenue
    Hillhouse Avenue is a historic, tree-lined street in New Haven, Connecticut, renowned for its 19th-century architecture and close association with Yale University.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365d45488190b48458092b6ffead completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:48 a.m.