Triple

T15694984
Position Surface form Disambiguated ID Type / Status
Subject Jackson, Mississippi E380436 entity
Predicate partlyIn P35 FINISHED
Object Rankin County E63877 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: Rankin County | Statement: [Jackson, Mississippi, partlyIn, Rankin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rankin County
Context triple: [Jackson, Mississippi, partlyIn, Rankin County]
  • A. Rankin County chosen
    Rankin County is a county in central Mississippi that forms part of the Jackson metropolitan area and includes some of the capital city’s suburban communities.
  • B. Lamar County
    Lamar County is a county in northeastern Texas known for its seat in the city of Paris and its location near the Oklahoma border.
  • C. Lamar County
    Lamar County is a rural county in western Alabama known for its small communities and agricultural landscape.
  • D. 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.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82ee580c819082ad53db6da91f66 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:44 a.m.