Triple

T5108610
Position Surface form Disambiguated ID Type / Status
Subject Minneapolis METRO Green Line E115158 entity
Predicate hasStation P35 FINISHED
Object 10th Street Station E410669 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: 10th Street Station | Statement: [Minneapolis METRO Green Line, hasStation, 10th Street Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 10th Street Station
Context triple: [Minneapolis METRO Green Line, hasStation, 10th Street Station]
  • A. 10th Street Station chosen
    10th Street Station is a light rail stop on Metro Transit's Green Line serving downtown Saint Paul, Minnesota.
  • B. 46th Street Station
    46th Street Station is a light rail stop in Minneapolis, Minnesota, serving passengers on the METRO Blue Line.
  • C. 38th Street Station
    38th Street Station is a light rail stop in Minneapolis, Minnesota, serving passengers on the METRO Blue Line.
  • D. Snelling Avenue Station
    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.
  • E. Franklin Avenue Station
    Franklin Avenue Station is a light rail stop on the METRO Blue Line in Minneapolis, Minnesota, serving the surrounding residential and commercial 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_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_69bf3a8192848190aa2413b9517f18d8 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 1:41 p.m.