Triple

T6074395
Position Surface form Disambiguated ID Type / Status
Subject Chambersburg–Hagerstown line E135362 entity
Predicate namedAfter P63 FINISHED
Object Hagerstown E80744 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: Hagerstown | Statement: [Chambersburg–Hagerstown line, namedAfter, Hagerstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagerstown
Context triple: [Chambersburg–Hagerstown line, namedAfter, Hagerstown]
  • A. Hagerstown, Maryland chosen
    Hagerstown, Maryland is a city in western Maryland known as a regional hub near key Civil War sites and transportation routes.
  • B. Williamsport, Maryland
    Williamsport, Maryland is a small historic town along the Potomac River known for its role in the Civil War and its location on the Chesapeake and Ohio Canal.
  • C. Hanover, Maryland
    Hanover, Maryland is an unincorporated community in Anne Arundel County known for its proximity to Baltimore/Washington International Thurgood Marshall Airport and major transportation and commercial hubs.
  • D. Vienna, Maryland
    Vienna, Maryland is a small historic town situated along the Nanticoke River in Dorchester County on Maryland’s Eastern Shore.
  • E. Ellicott City
    Ellicott City is a historic unincorporated community in central Maryland known for its preserved 19th-century downtown and frequent, severe flooding events.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9c89d62c08190b575d7e1058afbeb completed March 30, 2026, 12:49 a.m.
Created at: March 22, 2026, 4:11 p.m.