Triple

T8523918
Position Surface form Disambiguated ID Type / Status
Subject Petersburg, Virginia E201763 entity
Predicate near P350 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: [Petersburg, Virginia, near, Richmond, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond, Virginia
Context triple: [Petersburg, Virginia, near, 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 a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
  • C. Richmond
    Richmond is a historic outer suburb of Sydney, New South Wales, known for its semi-rural character and proximity to the Hawkesbury River.
  • D. Richmond
    Richmond is a common English surname of Norman origin, historically associated with various noble families and place names in England.
  • E. 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.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64362c88190b978a2544eec6e3e completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea813e384819090a8a7dc05e41ab2 completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:16 p.m.