Triple

T4387289
Position Surface form Disambiguated ID Type / Status
Subject Robertson Tunnel E99274 entity
Predicate servesLine P839 FINISHED
Object MAX Blue Line E21652 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 Blue Line | Statement: [Robertson Tunnel, servesLine, MAX Blue Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAX Blue Line
Context triple: [Robertson Tunnel, servesLine, MAX Blue Line]
  • A. MAX Blue Line chosen
    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.
  • B. Blue Line
    The Blue Line is one of the main lines of the Lisbon Metro system, serving key central and northern areas of Portugal’s capital city.
  • C. Blue Line
    Blue Line is a light rail line in the Los Angeles Metro Rail system that connects downtown Los Angeles with Long Beach and was the system’s inaugural route.
  • D. Blue Line
    The Blue Line is a major rapid transit route in Chicago that runs between O'Hare International Airport and the city's western suburbs via downtown.
  • E. Blue Line
    The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352804be88190ab188ac0dde1ac1e completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5e74ba481908876629c811d934f completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:19 p.m.