Triple

T9626210
Position Surface form Disambiguated ID Type / Status
Subject Kingsessing E232471 entity
Predicate traversedBy P225 FINISHED
Object South 52nd Street E234712 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: South 52nd Street | Statement: [Kingsessing, traversedBy, South 52nd Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South 52nd Street
Context triple: [Kingsessing, traversedBy, South 52nd Street]
  • A. South 52nd Street chosen
    South 52nd Street is a north–south thoroughfare in West Philadelphia that runs through residential and commercial neighborhoods and intersects major routes like Baltimore Avenue.
  • B. South 60th Street
    South 60th Street is a north–south thoroughfare in West Philadelphia that intersects major routes such as Baltimore Avenue and serves a mix of residential and commercial blocks.
  • C. South 49th Street
    South 49th Street is a major north–south thoroughfare in West Philadelphia that runs through the Kingsessing neighborhood.
  • D. South 67th Street
    South 67th Street is a roadway in Chicago notable for running alongside Oak Woods Cemetery on the city’s South Side.
  • E. North 36th Street
    North 36th Street is a roadway in Philadelphia that runs through the University City area, connecting key intersections such as 36th and Market Street.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9afc9144819084b208c3d04174ba completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f7ea448190b9fe123589a9f3c5 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:10 p.m.