Triple

T3142711
Position Surface form Disambiguated ID Type / Status
Subject Fauquier Hospital E65688 entity
Predicate city P40 FINISHED
Object Warrenton E10818 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: Warrenton | Statement: [Fauquier Hospital, city, Warrenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrenton
Context triple: [Fauquier Hospital, city, Warrenton]
  • A. Warrenton chosen
    Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
  • B. Warrenton, North Carolina
    Warrenton, North Carolina is a small historic town in Warren County known for its 18th- and 19th-century architecture and role in early American political history.
  • C. Warrenton, Georgia
    Warrenton, Georgia is a small historic city in east-central Georgia that serves as the county seat of Warren County.
  • D. Louisburg
    Louisburg refers to the 18th-century French fortress and settlement at Louisbourg on Cape Breton Island, Canada, which was the site of major sieges during the Anglo-French conflicts in North America.
  • E. Reynoldston
    Reynoldston is a rural village situated in the heart of the Gower Peninsula in Swansea, Wales, known for its scenic surroundings and traditional community character.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada579b07c8190a7b316f499911a2d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235b6685c8190b88501d7b2ad0d25 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.