Triple

T9420568
Position Surface form Disambiguated ID Type / Status
Subject Leflore County, Mississippi E227138 entity
Predicate hasJurisdiction P285 FINISHED
Object Sidon, Mississippi E669427 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: Sidon, Mississippi | Statement: [Leflore County, Mississippi, hasJurisdiction, Sidon, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidon, Mississippi
Context triple: [Leflore County, Mississippi, hasJurisdiction, Sidon, Mississippi]
  • A. Sidon, Mississippi chosen
    Sidon, Mississippi is a small rural town located in Leflore County in the Mississippi Delta region.
  • B. Scooba, Mississippi
    Scooba, Mississippi is a small rural town in eastern Mississippi known for its close-knit community and location near the Alabama state line.
  • C. Benoit, Mississippi
    Benoit, Mississippi is a small town in Bolivar County best known for its historic antebellum homes and as a filming location for classic Southern-set movies.
  • D. Waveland, Mississippi
    Waveland, Mississippi is a small Gulf Coast city in Hancock County known for its beachfront location and severe impact from Hurricane Katrina.
  • E. Winona, Mississippi
    Winona, Mississippi is a small city in central Mississippi known as a local commercial and transportation hub along Interstate 55.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2528c8819087b0a21e703254b7 completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1611c908c8190aea6768e5659c3ca completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 7:48 p.m.