Triple

T16450797
Position Surface form Disambiguated ID Type / Status
Subject Chrystie Street E399543 entity
Predicate hasIntersectionWith P13379 FINISHED
Object Grand Street — NE NERFINISHED

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: Grand Street | Statement: [Chrystie Street, hasIntersectionWith, Grand Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grand Street
Context triple: [Chrystie Street, hasIntersectionWith, Grand Street]
  • A. Grand Street chosen
    Grand Street is a major east–west thoroughfare in Lower Manhattan, New York City, running through neighborhoods such as Chinatown and the Lower East Side.
  • B. Grand Street
    Grand Street is a New York City Subway station on the IND Sixth Avenue Line in Manhattan, serving as a local stop for trains in the Chinatown area.
  • 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. 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 (2 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce06de0819086eea241c6b32223 completed April 18, 2026, 7:04 a.m.
Created at: April 10, 2026, 5:10 a.m.