Triple

T187862
Position Surface form Disambiguated ID Type / Status
Subject El E4021 entity
Predicate primaryCorridor P3034 FINISHED
Object Frankford Avenue E26605 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: Frankford Avenue | Statement: [El, primaryCorridor, Frankford Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankford Avenue
Context triple: [El, primaryCorridor, Frankford Avenue]
  • A. Frankford Avenue chosen
    Frankford Avenue is a major thoroughfare in Philadelphia, Pennsylvania, running through several neighborhoods as a key commercial and transit corridor.
  • B. Franklin Avenue
    Franklin Avenue is a notable east–west thoroughfare in Los Angeles, California, running through the Hollywood area and known for its historic residential neighborhoods and proximity to major Hollywood landmarks.
  • C. Lancaster Avenue
    Lancaster Avenue is a major thoroughfare in Philadelphia that serves as a key commercial and transit corridor through the University City area and beyond.
  • D. Chester Avenue
    Chester Avenue is a major street in Philadelphia that serves as part of the surface-running route for SEPTA’s Subway–Surface trolley lines.
  • E. Baltimore Avenue
    Baltimore Avenue is a major thoroughfare in West Philadelphia known for hosting street-running trolley service as part of SEPTA’s Subway–Surface lines.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a42a101a908190808a4e10871b357d completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.