Triple

T16324741
Position Surface form Disambiguated ID Type / Status
Subject North Central Florida E396380 entity
Predicate hasHigherEducationCenter P315 FINISHED
Object Leesburg E1207553 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: Leesburg | Statement: [North Central Florida, hasHigherEducationCenter, Leesburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leesburg
Context triple: [North Central Florida, hasHigherEducationCenter, Leesburg]
  • A. Leesburg
    Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
  • B. Leesburg chosen
    Leesburg is a small city in central Florida known for its historic downtown, numerous lakes, and annual festivals such as Bikefest.
  • C. Centreville
    Centreville is a suburban community in Fairfax County, Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • D. Falls Church
    Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
  • E. Ashburn
    Ashburn is a residential neighborhood located on the Southwest Side of Chicago, Illinois.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.