Triple

T13846856
Position Surface form Disambiguated ID Type / Status
Subject Pearl River County E332828 entity
Predicate containsSettlement P847 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: [Pearl River County, containsSettlement, Picayune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picayune
Context triple: [Pearl River County, containsSettlement, Picayune]
  • A. Picayune chosen
    Picayune is a small city in Pearl River County, Mississippi, known as a regional hub near the Louisiana border.
  • B. Hattieville
    Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
  • C. Pennyville
    Pennyville is the historic former name of what is now the Chicago suburb of Park Ridge, Illinois.
  • D. Barberville
    Barberville is a small unincorporated rural community in Volusia County, Florida, known for its historic village and annual pioneer settlement events.
  • E. Youngsville
    Youngsville is a small town in Franklin County, North Carolina, located just north of the Raleigh–Durham metropolitan area.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70816e48190949b16ae6e744d22 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:13 p.m.