Triple

T4103841
Position Surface form Disambiguated ID Type / Status
Subject SEPTA Route 13 E88401 entity
Predicate usesStreet P17242 FINISHED
Object Baltimore Avenue E32596 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: Baltimore Avenue | Statement: [SEPTA Route 13, usesStreet, Baltimore Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltimore Avenue
Context triple: [SEPTA Route 13, usesStreet, Baltimore Avenue]
  • A. Baltimore Avenue chosen
    Baltimore Avenue is a major thoroughfare in West Philadelphia known for hosting street-running trolley service as part of SEPTA’s Subway–Surface lines.
  • B. 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.
  • C. Shaw Boulevard
    Shaw Boulevard is a major east–west thoroughfare in Metro Manila, Philippines, serving as a key commercial and transport corridor through Mandaluyong and Pasig.
  • D. Snyder Avenue
    Snyder Avenue is a major east–west thoroughfare in South Philadelphia that serves as an important local commercial and residential corridor.
  • E. Dekalb Avenue
    Dekalb Avenue is a major thoroughfare in Brooklyn, New York City, known for running through neighborhoods such as Bedford–Stuyvesant and connecting residential areas with commercial and cultural hubs.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82735d8988190b4805d5af9f7d3a1 completed March 28, 2026, 7:08 p.m.
Created at: March 9, 2026, 3:40 p.m.