Triple

T12255938
Position Surface form Disambiguated ID Type / Status
Subject Roseland Community Hospital E292100 entity
Predicate neighborhood P988 FINISHED
Object Roseland E419268 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: Roseland | Statement: [Roseland Community Hospital, neighborhood, Roseland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roseland
Context triple: [Roseland Community Hospital, neighborhood, Roseland]
  • A. Roseland chosen
    Roseland is a predominantly residential neighborhood on Chicago’s far South Side known for its historic roots, diverse community, and ongoing efforts at economic revitalization.
  • B. Thornton Heights
    Thornton Heights is a residential neighborhood within the city of South Portland, Maine.
  • C. Montebello
    Montebello is an affluent residential neighborhood in Oslo, Norway, known for its quiet streets, green surroundings, and proximity to the city’s western hills.
  • D. Montebello
    Montebello is a small, historic village in western Quebec, Canada, known for its scenic Ottawa River setting, heritage architecture, and the landmark Fairmont Le Château Montebello resort.
  • E. Montebello
    Montebello is a suburban city in Los Angeles County, California, known for its residential communities, commercial centers, and proximity to downtown Los Angeles.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a921b8c8190b3f899b03575b194 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.