Triple

T19222935
Position Surface form Disambiguated ID Type / Status
Subject Veroia E480663 entity
Predicate biblicalName P7172 FINISHED
Object Berea 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: Berea | Statement: [Veroia, biblicalName, Berea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berea
Context triple: [Veroia, biblicalName, Berea]
  • A. Berea chosen
    Berea is an ancient city in Macedonia, known from the New Testament as a place where early Christian missionaries, including Paul and Silas, preached and where the local Jews were commended for diligently examining the Scriptures.
  • B. Berea
    Berea is a small city in northeastern Ohio, United States, known for housing Baldwin Wallace University and its proximity to Cleveland.
  • C. Berea
    Berea is a densely populated, historically diverse inner-city suburb of Johannesburg, South Africa.
  • D. Berea
    Berea is a small Kentucky city known for its vibrant arts and crafts community and its historic liberal arts college, Berea College.
  • E. Berea, Ohio
    Berea, Ohio is a suburban city near Cleveland known historically for its sandstone quarries and as the home of Baldwin Wallace University.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa94aed081909045cfed8edc6039 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:24 p.m.