Triple

T10069561
Position Surface form Disambiguated ID Type / Status
Subject William & Mary Law School E213584 entity
Predicate locatedIn P40 FINISHED
Object Williamsburg, Virginia E33584 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: Williamsburg, Virginia | Statement: [William & Mary Law School, locatedIn, Williamsburg, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamsburg, Virginia
Context triple: [William & Mary Law School, locatedIn, Williamsburg, Virginia]
  • A. Williamsburg chosen
    Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
  • B. Williamsburg
    Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
  • C. Williamsburg
    Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
  • D. Petersburg, Virginia
    Petersburg, Virginia is an independent city in south-central Virginia known for its strategic importance and extensive trench warfare during the American Civil War.
  • E. Kingstowne, Virginia
    Kingstowne, Virginia is a large planned suburban community in Fairfax County near Alexandria, known for its residential neighborhoods, town center, and proximity to Washington, D.C.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30041f8a88190b24de139e4acf9bb completed April 6, 2026, 12:37 a.m.
Created at: March 30, 2026, 8:58 p.m.