Triple

T18140871
Position Surface form Disambiguated ID Type / Status
Subject Pops Staples E434256 entity
Predicate placeOfBirth P1 FINISHED
Object Winona, Mississippi 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: Winona, Mississippi | Statement: [Pops Staples, placeOfBirth, Winona, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winona, Mississippi
Context triple: [Pops Staples, placeOfBirth, Winona, Mississippi]
  • A. Winona, Mississippi chosen
    Winona, Mississippi is a small city in central Mississippi known as a local commercial and transportation hub along Interstate 55.
  • B. Waveland, Mississippi
    Waveland, Mississippi is a small Gulf Coast city in Hancock County known for its beachfront location and severe impact from Hurricane Katrina.
  • C. Osborn, Mississippi
    Osborn, Mississippi is a small unincorporated rural community located in Oktibbeha County in the east-central part of the state.
  • D. Wesson, Mississippi
    Wesson, Mississippi is a small town in Copiah County known for its historic ties to the textile industry and as the home of Copiah-Lincoln Community College.
  • E. Ovett, Mississippi
    Ovett, Mississippi is a small unincorporated community located in Jones County in southeastern Mississippi.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0b67308190ae3be2dbff99910a completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.