Triple

T2572229
Position Surface form Disambiguated ID Type / Status
Subject College station E57689 entity
Predicate servesStreet P959 FINISHED
Object College Street unclear NED1 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: [College station, servesStreet, College Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College Street
Context triple: [College station, servesStreet, 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
    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. chosen

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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3853c848190970e8a2da16d726d completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69befe34c0908190a618ff01ee27bfbb completed March 21, 2026, 8:23 p.m.
Created at: March 6, 2026, 9:48 p.m.