Triple

T6979856
Position Surface form Disambiguated ID Type / Status
Subject Halethorpe station E161812 entity
Predicate category P87 FINISHED
Object MARC Train stations E416713 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 stations | Statement: [Halethorpe station, category, MARC Train stations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARC Train stations
Context triple: [Halethorpe station, category, MARC Train stations]
  • A. MARC Train stations chosen
    MARC Train stations are passenger rail stops in Maryland and neighboring states served by the Maryland Area Regional Commuter (MARC) train system.
  • B. MARTA rail stations
    MARTA rail stations are the train stops and transit hubs of Atlanta’s Metropolitan Atlanta Rapid Transit Authority rail system.
  • C. MARC Train
    MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
  • D. Amtrak (station facility)
    Amtrak (station facility) is the United States’ national passenger rail service operator that manages and maintains train stations and related passenger facilities across its network.
  • E. Las Parcelas station
    Las Parcelas station is a stop on Santiago’s Metro system serving Line 5 in the city’s western sector.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761bb90f48190882a58c2da10b3e4 completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:31 p.m.