Triple

T10079330
Position Surface form Disambiguated ID Type / Status
Subject Fairfax Station, Virginia E213856 entity
Predicate regionalEconomicContext P65240 FINISHED
Object part of Washington, D.C. commuter belt LITERAL 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: part of Washington, D.C. commuter belt | Statement: [Fairfax Station, Virginia, regionalEconomicContext, part of Washington, D.C. commuter belt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionalEconomicContext
Context triple: [Fairfax Station, Virginia, regionalEconomicContext, part of Washington, D.C. commuter belt]
  • A. regionalEconomyType
    Indicates the type or classification of an economy associated with a specific region.
  • B. economicImpactRegion
    Indicates the region or geographic area that experiences or is affected by a particular economic impact.
  • C. economicArea chosen
    Indicates that one entity is part of, associated with, or falls under the jurisdiction of a defined economic region or zone of another entity.
  • D. hasEconomicContext
    Indicates that something is associated with, influenced by, or situated within a particular economic situation, condition, or set of financial circumstances.
  • E. regionalEconomicIntegration
    Indicates an economic relationship where multiple regions coordinate and harmonize their markets, policies, and regulations to facilitate freer movement of goods, services, capital, and sometimes labor among them.
  • F. None of above.

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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd031ce748190bb71189afd331979 completed April 2, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69cd4b97870481908f7a89df10d58a9e completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9 p.m.