Triple

T7158363
Position Surface form Disambiguated ID Type / Status
Subject Fort Segarra E166873 entity
Predicate locatedNear P294 FINISHED
Object Charlotte Amalie E2441 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: Charlotte Amalie | Statement: [Fort Segarra, locatedNear, Charlotte Amalie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Amalie
Context triple: [Fort Segarra, locatedNear, Charlotte Amalie]
  • A. Charlotte Amalie chosen
    Charlotte Amalie is the largest city and main commercial and tourism hub of the U.S. Virgin Islands, located on the island of St. Thomas in the Caribbean.
  • B. Christiansted
    Christiansted is a historic coastal town on the island of Saint Croix in the U.S. Virgin Islands, known for its preserved Danish colonial architecture and waterfront.
  • C. Nyhavn
    Nyhavn is a historic waterfront district in central Copenhagen known for its colorful 17th-century townhouses, canalside restaurants, and vibrant harbor atmosphere.
  • D. Luisenstadt
    Luisenstadt is a historic former district of Berlin, Germany, known for its 19th-century urban development and significant cultural and architectural heritage.
  • E. Jette
    Jette is a municipality in the Brussels-Capital Region of Belgium, known for its residential character and educational institutions, including the Jette campus.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8109a64819087e132d6d483c07d completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adbbe8008190b470cf049ba4be52 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.