Triple

T1641746
Position Surface form Disambiguated ID Type / Status
Subject Northeast Regional E35487 entity
Predicate terminus P388 FINISHED
Object Richmond, Virginia E8109 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: Richmond, Virginia | Statement: [Northeast Regional, terminus, Richmond, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond, Virginia
Context triple: [Northeast Regional, terminus, Richmond, Virginia]
  • A. Richmond, Virginia chosen
    Richmond, Virginia is the capital city of the U.S. state of Virginia, known for its pivotal role in American history, particularly as the capital of the Confederacy during the Civil War.
  • B. Richmond
    Richmond is an industrial and residential city in California’s East Bay region, known for its waterfront along San Francisco Bay and its diverse, working-class communities.
  • C. Richmond
    Richmond is a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
  • D. Richmond
    Richmond is a town in southwest London, England, known for its historic riverside, expansive parkland, and affluent residential character.
  • E. Richmond
    Richmond is a coastal city in Metro Vancouver, British Columbia, known for its large Asian community, busy international airport, and extensive dike-protected waterfront.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a3e254081908b7c4a9dfeafc4f8 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108b2902481908a6e9915e95a7641 completed March 11, 2026, 6:16 a.m.
Created at: March 4, 2026, 7:28 p.m.