Triple

T13265808
Position Surface form Disambiguated ID Type / Status
Subject Jones County, Mississippi E315919 entity
Predicate hasCity P316 FINISHED
Object Sharon, Mississippi E376917 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: Sharon, Mississippi | Statement: [Jones County, Mississippi, hasCity, Sharon, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon, Mississippi
Context triple: [Jones County, Mississippi, hasCity, Sharon, Mississippi]
  • A. Sharon, Mississippi chosen
    Sharon, Mississippi is a small unincorporated community located in Madison County in the central part of the state.
  • B. Shaw, Mississippi
    Shaw, Mississippi is a small rural city in the Mississippi Delta region known for its agricultural surroundings and historically African American community.
  • C. Sallis, Mississippi
    Sallis, Mississippi is a small rural town located in central Mississippi within Attala County.
  • D. Winona, Mississippi
    Winona, Mississippi is a small city in central Mississippi known as a local commercial and transportation hub along Interstate 55.
  • 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 (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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff453c189c8190ac73204b7ac68dda completed May 9, 2026, 2:31 p.m.
Created at: April 9, 2026, 9:25 p.m.