Triple

T2859462
Position Surface form Disambiguated ID Type / Status
Subject Picayune, Mississippi E63282 entity
Predicate hasName P744 FINISHED
Object Picayune E234120 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: Picayune | Statement: [Picayune, Mississippi, hasName, Picayune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picayune
Context triple: [Picayune, Mississippi, hasName, Picayune]
  • A. Picayune chosen
    Picayune is a small city in Pearl River County, Mississippi, known as a regional hub near the Louisiana border.
  • B. Pennyville
    Pennyville is the historic former name of what is now the Chicago suburb of Park Ridge, Illinois.
  • C. Youngsville
    Youngsville is a small town in Franklin County, North Carolina, located just north of the Raleigh–Durham metropolitan area.
  • D. Azalea City
    Azalea City is a nickname for Mobile, Alabama, highlighting the city's abundance of blooming azalea flowers and its reputation for vibrant Southern gardens.
  • E. Stillwater
    Stillwater is a small town in eastern New York State known for its proximity to historic Revolutionary War sites near the Hudson River.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8aec3c8190a4168d8c916b5268 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d972aa481908f6cb5f27706990c completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.