Triple

T1496779
Position Surface form Disambiguated ID Type / Status
Subject Reston E29704 entity
Predicate hasCityCenter P2106 FINISHED
Object Reston Town Center E29073 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 Town Center | Statement: [Reston, hasCityCenter, Reston Town Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reston Town Center
Context triple: [Reston, hasCityCenter, Reston Town Center]
  • A. Reston Town Center chosen
    Reston Town Center is a mixed-use urban core in Reston, Virginia, known for its offices, shops, restaurants, public events, and pedestrian-friendly plazas.
  • B. Dulles Town Center
    Dulles Town Center is a large regional shopping mall and commercial hub located in Sterling, Virginia.
  • C. Tysons Corner Center
    Tysons Corner Center is one of the largest and most prominent shopping malls in the Washington, D.C. metropolitan area, known for its extensive retail, dining, and entertainment options.
  • D. Tysons
    Tysons is a major commercial and business district in Fairfax County, Virginia, known for its large shopping malls, corporate offices, and rapidly growing urban development.
  • E. Tysons Galleria
    Tysons Galleria is an upscale shopping mall in Tysons, Virginia, known for its luxury retailers and high-end dining options.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6edca248190a90205799b270058 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1caf8b288190b428cf903db2c107 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:12 p.m.