Triple

T21329360
Position Surface form Disambiguated ID Type / Status
Subject Stewart County E525855 entity
Predicate hasSettlement P1068 FINISHED
Object Richland, Georgia NE NERFINISHED

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: Richland, Georgia | Statement: [Stewart County, hasSettlement, Richland, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richland, Georgia
Context triple: [Stewart County, hasSettlement, Richland, Georgia]
  • A. Richland, Georgia chosen
    Richland, Georgia is a small city in Stewart County in southwestern Georgia, known historically as a rural community and regional crossroads.
  • B. Richwood, Georgia
    Richwood, Georgia is a small unincorporated rural community located in Dooly County in the U.S. state of Georgia.
  • C. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • D. Calhoun, Georgia
    Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
  • E. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4f95fc819087eb32dca7da689a completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.