Triple

T3617081
Position Surface form Disambiguated ID Type / Status
Subject Race Street E76628 entity
Predicate crosses P416 FINISHED
Object North 4th Street E309231 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: North 4th Street | Statement: [Race Street, crosses, North 4th Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: North 4th Street
Context triple: [Race Street, crosses, North 4th Street]
  • A. South 40th Street
    South 40th Street is a street in Philadelphia’s University City area that intersects with Baltimore Avenue near the University of Pennsylvania campus.
  • B. Fourth Avenue
    Fourth Avenue is a major thoroughfare in Brooklyn, New York City, running through several neighborhoods and serving as a key corridor for traffic, transit, and local businesses.
  • C. North 2nd Street
    North 2nd Street is a city thoroughfare that serves as part of the numbered street grid in its urban area.
  • D. Fourth Street, Philadelphia chosen
    Fourth Street in Philadelphia is a historic thoroughfare in the city's central area, known for its proximity to notable institutions and colonial-era sites.
  • E. Spruce Street
    Spruce Street is a major thoroughfare running through University City in Philadelphia, known for serving the nearby universities and residential neighborhoods.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27c98088190a493c9eddf6b206a completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882d20fc819082c0b640cddce269 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:23 p.m.