Triple

T7868874
Position Surface form Disambiguated ID Type / Status
Subject South County Middle School E182685 entity
Predicate city P40 FINISHED
Object Lorton E34101 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: Lorton | Statement: [South County Middle School, city, Lorton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorton
Context triple: [South County Middle School, city, Lorton]
  • A. Lorton chosen
    Lorton is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, proximity to major transportation routes, and redevelopment of the former Lorton Reformatory site.
  • B. Lorton
    Lorton is a small village and civil parish in Cumbria, England, situated in the scenic Lake District near the town of Cockermouth.
  • C. Purcellville
    Purcellville is a small town in western Loudoun County, Virginia, known for its historic downtown, rural character, and role as a gateway to the Blue Ridge and Virginia wine country.
  • D. Leesburg
    Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
  • E. Spotswood
    Spotswood is a small borough in central New Jersey known for its suburban residential character and local community atmosphere.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3848d6d88190830afcf04ad12154 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc622b1d08190b8d840a58712ef3b completed April 2, 2026, 1:28 a.m.
Created at: March 30, 2026, 4:55 p.m.