Triple

T7432343
Position Surface form Disambiguated ID Type / Status
Subject Reston Montessori School E171522 entity
Predicate regionServed P82 FINISHED
Object Reston area E29704 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: Reston area | Statement: [Reston Montessori School, regionServed, Reston area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reston area
Context triple: [Reston Montessori School, regionServed, Reston area]
  • A. Reston chosen
    Reston is a planned community in Fairfax County, Virginia, known for its pioneering mixed-use design, extensive green spaces, and vibrant residential and commercial centers.
  • B. Reston
    Reston is a small rural village in the Scottish Borders region of southeastern Scotland.
  • C. Reston Association
    Reston Association is the primary community association responsible for managing amenities, services, and covenants for residents of the planned community of Reston, Virginia.
  • D. Reston Town Center
    Reston Town Center is a mixed-use urban core in Reston, Virginia, known for its offices, shops, restaurants, public events, and pedestrian-friendly plazas.
  • E. Tysons, Virginia
    Tysons, Virginia is a major commercial and business district in Northern Virginia known for its large shopping malls, dense office developments, and role as a key edge city of the Washington, D.C. metropolitan area.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f325ea908190b668fd4ce646f1e6 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f187f5081909d171835278c035c completed March 28, 2026, 6:34 p.m.
Created at: March 27, 2026, 3:12 p.m.