Triple

T9545649
Position Surface form Disambiguated ID Type / Status
Subject Jessup station E230275 entity
Predicate partOf P40 FINISHED
Object MARC Train system E2774 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: MARC Train system | Statement: [Jessup station, partOf, MARC Train system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARC Train system
Context triple: [Jessup station, partOf, MARC Train system]
  • A. MARC Train chosen
    MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
  • B. ExpressRail system
    The ExpressRail system is a dedicated on-dock rail network at the Port of New York and New Jersey that moves containerized cargo efficiently between marine terminals and inland destinations.
  • C. SMART train
    SMART train is a commuter rail service in California’s North Bay region that connects communities in Marin and Sonoma counties.
  • D. Advanced Passenger Train
    The Advanced Passenger Train was a pioneering British high-speed tilting train developed by British Rail in the 1970s and 1980s to enable faster travel on existing curving tracks.
  • E. MARC commuter rail
    MARC commuter rail is a regional passenger train service in Maryland that connects suburban communities and nearby states with major employment centers like Washington, D.C. and Baltimore.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9901f2bc8190a4076f5947660df9 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1527c0914819087ffa9d201afdd35 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:01 p.m.