Triple

T12146730
Position Surface form Disambiguated ID Type / Status
Subject West Fayette Street E289341 entity
Predicate connectsTo P845 FINISHED
Object President Street E689988 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: President Street | Statement: [West Fayette Street, connectsTo, President Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: President Street
Context triple: [West Fayette Street, connectsTo, President Street]
  • A. President Street chosen
    President Street is a street in Brooklyn, New York City, known for serving residential neighborhoods and providing access to local institutions and transit.
  • B. Madison Street
    Madison Street is a major east–west thoroughfare in downtown Seattle, Washington, running from the waterfront up through the city’s central business district.
  • C. 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.
  • D. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • E. Monroe Street
    Monroe Street is a major thoroughfare in Tallahassee, Florida, running through the heart of the city’s downtown and serving as a key commercial and civic corridor.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1330527481908d518093debc9ad1 completed May 9, 2026, 10:57 a.m.
Created at: April 8, 2026, 9:49 p.m.