Triple

T1003374
Position Surface form Disambiguated ID Type / Status
Subject MAX Blue Line E21652 entity
Predicate connectsWith P37 FINISHED
Object MAX Red Line E2466 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: MAX Red Line | Statement: [MAX Blue Line, connectsWith, MAX Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAX Red Line
Context triple: [MAX Blue Line, connectsWith, MAX Red Line]
  • A. MAX Red Line chosen
    MAX Red Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with Portland International Airport and the city’s western suburbs.
  • B. MAX Yellow Line
    The MAX Yellow Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with North Portland neighborhoods.
  • C. MAX Blue Line
    MAX Blue Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with eastern and western suburbs as part of the region’s MAX Light Rail system.
  • D. Sky Red Line
    Sky Red Line is the high-performance, turbocharged variant of the Saturn Sky roadster, featuring upgraded power and sport-tuned components.
  • E. Red Line
    Red Line is a major rapid transit route in the Washington Metro system, running through key areas of Washington, D.C., and its Maryland suburbs.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a1ecddc8190b954d16c6e269498 completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.