Triple

T4003352
Position Surface form Disambiguated ID Type / Status
Subject Wesel E89464 entity
Predicate hasTwinTown P919 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: [Wesel, hasTwinTown, Hagerstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagerstown
Context triple: [Wesel, hasTwinTown, 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. Ellicott City
    Ellicott City is a historic unincorporated community in central Maryland known for its preserved 19th-century downtown and frequent, severe flooding events.
  • E. Middletown, Maryland
    Middletown, Maryland is a small historic town in western Maryland known for its scenic Middletown Valley setting and role in Civil War-era 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5de98c8190a95b21a75fffdef3 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf36a45c81909f5161f30e970fef completed March 23, 2026, 4:19 a.m.
Created at: March 9, 2026, 3:34 p.m.