Triple

T6474117
Position Surface form Disambiguated ID Type / Status
Subject Warren Alpert Medical School E146026 entity
Predicate city P40 FINISHED
Object Providence E30905 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: Providence | Statement: [Warren Alpert Medical School, city, Providence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Providence
Context triple: [Warren Alpert Medical School, city, Providence]
  • A. Providence chosen
    Providence is the capital and most populous city of Rhode Island, known for its historic architecture, prominent universities, and role as a cultural and economic center in New England.
  • B. Providence
    Providence is the divine guidance or care believed to direct human affairs and outcomes according to a higher, benevolent plan.
  • C. Providence
    Providence is a small rural town in Saratoga County, New York, known for its forests, lakes, and Adirondack foothills setting.
  • D. Pawtucket
    Pawtucket is an industrial city in northeastern Rhode Island known historically as a birthplace of the American Industrial Revolution.
  • E. Hartford (Providence)
    Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a32c0188190bcb3c35fc1d796a6 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70060c7788190aab7ca88615d6e71 completed March 27, 2026, 10:10 p.m.
Created at: March 22, 2026, 4:50 p.m.