Triple

T2443943
Position Surface form Disambiguated ID Type / Status
Subject Virginia Museum of Fine Arts E53343 entity
Predicate city P40 FINISHED
Object Richmond E359503 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 | Statement: [Virginia Museum of Fine Arts, city, Richmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond
Context triple: [Virginia Museum of Fine Arts, city, Richmond]
  • A. 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.
  • B. Richmond
    Richmond is a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
  • C. Richmond chosen
    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.
  • D. Richmond
    Richmond is an Australian federal electoral division in northern New South Wales that includes coastal communities such as Tweed Heads and Byron Bay.
  • E. Richmond
    Richmond is a town in southwest London, England, known for its historic riverside, expansive parkland, and affluent residential character.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca22aa708190a1489234373cca65 completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4fad35a0c8190a07cc7877fbfec04 completed March 14, 2026, 6:06 a.m.
Created at: March 6, 2026, 9:43 p.m.