Triple

T21906554
Position Surface form Disambiguated ID Type / Status
Subject Richmond Convention Center E540955 entity
Predicate city P40 FINISHED
Object Richmond NE NERFINISHED

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 | Statement: [Richmond Convention Center, city, Richmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond
Context triple: [Richmond Convention Center, city, Richmond]
  • A. Richmond chosen
    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.
  • B. Richmond
    Richmond is an Australian federal electoral division in northern New South Wales that includes coastal communities such as Tweed Heads and Byron Bay.
  • C. Richmond
    Richmond is a small settlement located in St. Mary Parish on the northern coast of Jamaica.
  • D. 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.
  • E. Richmond
    Richmond is the capital city of Virginia, known for its pivotal role in American history, especially as the former capital of the Confederacy and a center of political, cultural, and economic activity in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d74d388190be58b937c486fa69 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:37 p.m.