Triple

T9417413
Position Surface form Disambiguated ID Type / Status
Subject Virginia State University E227060 entity
Predicate cityServed P82 FINISHED
Object Petersburg E201763 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: Petersburg | Statement: [Virginia State University, cityServed, Petersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petersburg
Context triple: [Virginia State University, cityServed, Petersburg]
  • A. Petersburg
    Petersburg is a small fishing and logging town located on Mitkof Island in Southeast Alaska, known for its strong Norwegian heritage and maritime economy.
  • B. Petersburg, Virginia chosen
    Petersburg, Virginia is an independent city in south-central Virginia known for its strategic importance and extensive trench warfare during the American Civil War.
  • C. Glen Allen
    Glen Allen is a suburban community in central Virginia, known as part of the Greater Richmond metropolitan area.
  • D. Richmond
    Richmond is a town in New Zealand’s South Island that serves as the administrative and commercial center of the Tasman District.
  • E. Richmond
    Richmond is an Australian federal electoral division in northern New South Wales that includes coastal communities such as Tweed Heads and Byron Bay.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cb4be08190a47f901a9703f9db completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12233f89c8190979d76aee65c0d56 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:48 p.m.