Triple

T3293838
Position Surface form Disambiguated ID Type / Status
Subject Central Mississippi E69162 entity
Predicate contains P35 FINISHED
Object Leake County E342108 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: Leake County | Statement: [Central Mississippi, contains, Leake County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leake County
Context triple: [Central Mississippi, contains, Leake County]
  • A. Latah County
    Latah County is a county in north-central Idaho known for its agricultural landscape and as home to the University of Idaho in the city of Moscow.
  • B. Leake County, Mississippi chosen
    Leake County, Mississippi is a rural county in central Mississippi known for its agricultural economy, small towns, and location within the Jackson metropolitan area.
  • C. Leflore County
    Leflore County is a county in the Mississippi Delta region of Mississippi, known for its rich blues heritage and agricultural history.
  • D. Colbert County
    Colbert County is a county in northwestern Alabama known for its location along the Tennessee River and its role in the Muscle Shoals metropolitan area.
  • E. Bailey County
    Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c1cbe848190a75c0e7108a5bc2c completed March 14, 2026, 11:53 a.m.
Created at: March 8, 2026, 3:10 p.m.