Triple

T33211135
Position Surface form Disambiguated ID Type / Status
Subject Ford County, Mississippi E850161 entity
Predicate fictionalStateContext P13811 FINISHED
Object American South 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: American South | Statement: [Ford County, Mississippi, fictionalStateContext, American South]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalStateContext
Context triple: [Ford County, Mississippi, fictionalStateContext, American South]
  • A. stateInFiction chosen
    Indicates that a particular state or condition exists within a fictional context or narrative world rather than in real-world actuality.
  • B. fictionalJurisdiction
    Indicates that one entity has legal authority or governance over another within an invented or imaginary legal system or territory.
  • C. fictionalStreetContext
    Indicates that the relationship or action occurs within a fictional street setting or is contextualized by events, conditions, or features specific to an imagined street.
  • D. fictionalCityContext
    Indicates that the relationship or information is situated within, or pertains specifically to, the setting of a fictional city.
  • E. fictionalPremiereContext
    Indicates the situational or narrative context in which a fictional work is first presented or premiered.
  • F. None of above.

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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe38be079c8190a240191ac0e73e3a completed May 8, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69fe350344508190930de2218156ca02 completed May 8, 2026, 7:09 p.m.
Created at: May 1, 2026, 1:30 a.m.