Triple

T3293835
Position Surface form Disambiguated ID Type / Status
Subject Central Mississippi E69162 entity
Predicate contains P35 FINISHED
Object Copiah County E324836 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: Copiah County | Statement: [Central Mississippi, contains, Copiah County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copiah County
Context triple: [Central Mississippi, contains, Copiah County]
  • A. Copiah County, Mississippi chosen
    Copiah County, Mississippi is a rural county in central Mississippi known for its agricultural heritage and small-town communities.
  • B. Lamar County
    Lamar County is a rural county in western Alabama known for its small communities and agricultural landscape.
  • C. Lamar County
    Lamar County is a county in the state of Georgia, United States, known for its seat in the city of Barnesville and its location in the central part of the state.
  • D. Smith County, Mississippi
    Smith County, Mississippi is a rural county in central Mississippi known for its small communities, forestry and agriculture-based economy, and location within the Jackson metropolitan region.
  • E. Pearl River County
    Pearl River County is a county in southern Mississippi known for its mix of small towns, including Picayune, and rural communities near the Louisiana border.
  • 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_69b44ed5f23c8190bfd1fb6370aad390 completed March 13, 2026, 5:52 p.m.
Created at: March 8, 2026, 3:10 p.m.