Triple

T4387286
Position Surface form Disambiguated ID Type / Status
Subject Robertson Tunnel E99274 entity
Predicate partOf P40 FINISHED
Object MAX Light Rail system E17464 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 Light Rail system | Statement: [Robertson Tunnel, partOf, MAX Light Rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAX Light Rail system
Context triple: [Robertson Tunnel, partOf, MAX Light Rail system]
  • A. MAX Light Rail chosen
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • B. LYNX light rail system
    The LYNX light rail system is Charlotte, North Carolina’s urban rail transit network, providing electric passenger service along key corridors such as the Blue Line.
  • C. METRO light rail
    METRO light rail is a rapid transit system serving the Minneapolis–Saint Paul metropolitan area with multiple color-designated lines connecting key urban, suburban, and airport destinations.
  • D. DART Light Rail
    DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
  • E. The Tide light rail system
    The Tide light rail system is an urban light rail transit network serving the city of Norfolk and surrounding areas in southeastern Virginia.
  • 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_69b627e47ff48190b5aea21e4af773de completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:19 p.m.