Triple

T2448864
Position Surface form Disambiguated ID Type / Status
Subject Old Toronto E53654 entity
Predicate contains P35 FINISHED
Object College Street E230086 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: College Street | Statement: [Old Toronto, contains, College Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College Street
Context triple: [Old Toronto, contains, College Street]
  • A. College Street
    College Street is a prominent thoroughfare in New Haven, Connecticut, running alongside Yale University’s Old Campus and connecting key parts of the downtown area.
  • B. College Street chosen
    College Street is a major east–west thoroughfare in Toronto, Ontario, known for its streetcar route, vibrant commercial strips, and diverse neighborhoods including Little Italy and the university district.
  • C. College Street
    College Street is a historic and bustling thoroughfare in central Kolkata, India, famed for its dense concentration of bookstores, educational institutions, and vibrant intellectual culture.
  • D. Union Street
    Union Street is a central thoroughfare in Glasgow, Scotland, known for its busy traffic, shops, and proximity to major transport hubs.
  • E. Union Street
    Union Street is a notable commercial thoroughfare in San Francisco known for its boutiques, restaurants, and historic architecture.
  • 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_69beb0a5d4908190bb817c48cb485088 completed March 21, 2026, 2:52 p.m.
Created at: March 6, 2026, 9:43 p.m.