Triple

T3041535
Position Surface form Disambiguated ID Type / Status
Subject Monroe E83140 entity
Predicate hasEntranceOn P1974 FINISHED
Object Monroe Street E78421 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: Monroe Street | Statement: [Monroe, hasEntranceOn, Monroe Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monroe Street
Context triple: [Monroe, hasEntranceOn, Monroe Street]
  • A. Monroe Street chosen
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • B. Madison Street
    Madison Street is a major east–west thoroughfare in downtown Chicago, Illinois, serving as a key dividing line for the city’s street numbering system.
  • C. Lafayette Street
    Lafayette Street is a major north–south thoroughfare in Lower Manhattan, New York City, running through neighborhoods such as SoHo and NoHo and known for its historic architecture and commercial activity.
  • D. Franklin Street
    Franklin Street is a major thoroughfare running through Oakland, California, including the heart of the city's Chinatown district.
  • E. Franklin Street
    Franklin Street is the central commercial and cultural corridor of Chapel Hill, North Carolina, known for its shops, restaurants, and proximity to the University of North Carolina campus.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b5b92088190971bed04e65c5917 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc4184b38819084c8c6d5c27d3906 completed March 22, 2026, 10:27 a.m.
Created at: March 8, 2026, 3:01 p.m.