Triple

T5108602
Position Surface form Disambiguated ID Type / Status
Subject Minneapolis METRO Green Line E115158 entity
Predicate hasStation P35 FINISHED
Object Snelling Avenue Station E405514 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: Snelling Avenue Station | Statement: [Minneapolis METRO Green Line, hasStation, Snelling Avenue Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snelling Avenue Station
Context triple: [Minneapolis METRO Green Line, hasStation, Snelling Avenue Station]
  • A. Snelling Avenue Station chosen
    Snelling Avenue Station is a light rail stop in Saint Paul, Minnesota, serving the METRO Green Line and providing access to nearby neighborhoods and commercial areas.
  • B. Columbia Avenue station
    Columbia Avenue station is the former name of a Philadelphia subway station now known as Cecil B. Moore station on SEPTA's Broad Street Line.
  • C. Davenport Avenue station
    Davenport Avenue station is a stop on New Jersey's Newark Light Rail system serving local passengers in Newark.
  • D. North Avenue station
    North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
  • E. North Avenue station
    North Avenue station is a major elevated rail station in Quezon City, Philippines, serving as a key commuter hub on Manila’s MRT Line 3.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75aa6b088190b02cdb66ec4a11f0 completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28f6f5148190ac40ba3256f8264b completed March 21, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:41 p.m.