Triple

T9085250
Position Surface form Disambiguated ID Type / Status
Subject Colonial Parkway E217734 entity
Predicate nearCity P350 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: [Colonial Parkway, nearCity, Williamsburg, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamsburg, Virginia
Context triple: [Colonial Parkway, nearCity, 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960d0b008190b0e9e61fac45101d completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017c893fc819087d18db2383b9bb4 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:13 p.m.