Triple

T19468796
Position Surface form Disambiguated ID Type / Status
Subject Carl Blegen E487066 entity
Predicate residence P75 FINISHED
Object Athens, Greece 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: Athens, Greece | Statement: [Carl Blegen, residence, Athens, Greece]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens, Greece
Context triple: [Carl Blegen, residence, Athens, Greece]
  • A. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • B. Athens
    Athens is a small town in Mercer County, West Virginia, best known as the home of Concord University.
  • C. Athens
    Athens is a small rural municipality in eastern Ontario, Canada, known for its historic village character and proximity to the Thousand Islands region.
  • D. Athens chosen
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • E. Athens
    Athens is a historic town in Greene County, New York, situated along the Hudson River and known for its preserved 19th-century architecture and riverfront views.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e4b230819097c8804ee91988ea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.