Triple

T2523562
Position Surface form Disambiguated ID Type / Status
Subject United States South Atlantic states E55579 entity
Predicate hasMember P10 FINISHED
Object Virginia E5410 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: Virginia | Statement: [United States South Atlantic states, hasMember, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia
Context triple: [United States South Atlantic states, hasMember, Virginia]
  • A. Virginia chosen
    Virginia is a U.S. state in the Mid-Atlantic and Southeastern regions, known for its pivotal role in American history, including being home to several early presidents and key Revolutionary and Civil War sites.
  • B. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • C. Virginie
    Virginie is the given name of Virginie Amélie Avegno Gautreau, the American-born Parisian socialite famously depicted in John Singer Sargent’s painting "Portrait of Madame X."
  • D. Maryland
    Maryland is a Mid-Atlantic U.S. state known for its Chesapeake Bay shoreline, colonial history, and proximity to the nation’s capital.
  • E. West Virginia
    West Virginia is a landlocked, mountainous U.S. state in the Appalachian region, known for its coal mining history, outdoor recreation, and distinct cultural heritage.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd23a0a548190b44393e0f823f7a9 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6550c55481908fe4e8bab17aaa6d completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:46 p.m.