Triple

T33898292
Position Surface form Disambiguated ID Type / Status
Subject Loudoun County, Colony of Virginia E868974 entity
Predicate geographyCharacterizedBy P12436 FINISHED
Object Piedmont region NE NERFINISHED

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: Piedmont region | Statement: [Loudoun County, Colony of Virginia, geographyCharacterizedBy, Piedmont region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographyCharacterizedBy
Context triple: [Loudoun County, Colony of Virginia, geographyCharacterizedBy, Piedmont region]
  • A. hasGeographyCharacteristic chosen
    Indicates that an entity possesses a specific geographical feature, property, or attribute.
  • B. geographyBehavior
    Indicates how an entity behaves, functions, or interacts in relation to its geographic context or location.
  • C. geographicalStructure
    Indicates a relationship where one entity is a physical geographic feature or formation that characterizes or shapes the spatial nature of another entity or area.
  • D. regionalCharacteristic
    Indicates that a particular feature, quality, or attribute is typical of, or distinctive to, a specific geographic region.
  • E. physicalFeature
    Indicates that one entity possesses or exhibits a particular physical characteristic or attribute.
  • 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_69f34997703c8190866b1d404bce531f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c475c58c8190a883554231e88c88 completed May 3, 2026, 9:56 p.m.
Created at: May 1, 2026, 1:48 a.m.