Triple

T5610425
Position Surface form Disambiguated ID Type / Status
Subject Berlin, Maryland E147340 entity
Predicate partOfMetropolitanArea P294 FINISHED
Object Salisbury, Maryland–Delaware Metropolitan Statistical Area E178829 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: Salisbury, Maryland–Delaware Metropolitan Statistical Area | Statement: [Berlin, Maryland, partOfMetropolitanArea, Salisbury, Maryland–Delaware Metropolitan Statistical Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salisbury, Maryland–Delaware Metropolitan Statistical Area
Context triple: [Berlin, Maryland, partOfMetropolitanArea, Salisbury, Maryland–Delaware Metropolitan Statistical Area]
  • A. Salisbury, Maryland–Delaware metropolitan area chosen
    The Salisbury, Maryland–Delaware metropolitan area is a bi-state region centered on the city of Salisbury that encompasses parts of Maryland and Delaware on the Delmarva Peninsula and functions as a regional hub for commerce, healthcare, and education.
  • B. Metropolregion MD
    Metropolregion MD is a central German metropolitan region encompassing major cities and economic centers in the states of Saxony, Saxony-Anhalt, and Thuringia, focused on regional development and cooperation.
  • C. Baltimore–Washington metropolitan area
    The Baltimore–Washington metropolitan area is a major combined urban region in the Mid-Atlantic United States centered on the cities of Baltimore, Maryland, and Washington, D.C., known for its dense population, federal government presence, and diverse economy.
  • D. Hagerstown–Martinsburg, MD–WV Metropolitan Statistical Area
    The Hagerstown–Martinsburg, MD–WV Metropolitan Statistical Area is a bi-state U.S. metropolitan region centered on the cities of Hagerstown, Maryland, and Martinsburg, West Virginia, encompassing surrounding communities in both states.
  • E. Philadelphia–Camden–Wilmington metropolitan statistical area
    The Philadelphia–Camden–Wilmington metropolitan statistical area is a major multi-state urban and suburban region centered on Philadelphia, spanning parts of Pennsylvania, New Jersey, Delaware, and Maryland and serving as a key economic and cultural hub of the Mid-Atlantic.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0211dfc88819097b6d4254a61f65a completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d9957e481909b57e8d524f4b4f6 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:39 p.m.