Triple

T6036313
Position Surface form Disambiguated ID Type / Status
Subject MAX Red Line E134429 entity
Predicate hasStation P35 FINISHED
Object Cascades Station E14231 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: Cascades Station | Statement: [MAX Red Line, hasStation, Cascades Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cascades Station
Context triple: [MAX Red Line, hasStation, Cascades Station]
  • A. Cascades Station chosen
    Cascades Station is a light rail stop on Portland’s MAX Red Line serving the Cascade Station shopping and business district near Portland International Airport.
  • B. The Pointe Station
    The Pointe Station is a monorail stop on Dubai’s Palm Jumeirah serving the waterfront dining and entertainment destination known as The Pointe.
  • C. Columbia station
    Columbia station was the former name of what is now JFK/UMass station, a major rapid transit and commuter rail hub in Boston, Massachusetts.
  • D. Barron Falls station
    Barron Falls station is a scenic railway stop in Queensland, Australia, known for its dramatic views of Barron Falls and the surrounding rainforest.
  • E. Pearl station
    Pearl station was the original name of the Pearl/Arts District light rail station in Dallas, Texas, serving the downtown area on DART’s system.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b4e3ec819089b2d119ea2953fe completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1138cb2388190a80562a835388dc3 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.