Triple

T4890426
Position Surface form Disambiguated ID Type / Status
Subject Toombs County E109544 entity
Predicate partOf P40 FINISHED
Object State of Georgia E14900 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: State of Georgia | Statement: [Toombs County, partOf, State of Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Georgia
Context triple: [Toombs County, partOf, State of Georgia]
  • A. Georgia
    Georgia is a country at the crossroads of Eastern Europe and Western Asia, known for its ancient culture, mountainous landscapes, and historic role along the Silk Road.
  • B. Georgia chosen
    Georgia is a southeastern U.S. state known for its diverse landscapes, historic cities like Atlanta and Savannah, and significant roles in both the Civil War and the civil rights movement.
  • C. Georgia
    Georgia is a character from the musical and film "Burlesque," known for her role as one of the performers in the nightclub where the story unfolds.
  • D. Georgia
    Georgia is a 1995 American drama film starring Jennifer Jason Leigh as a struggling singer overshadowed by her more successful sister.
  • E. New Georgia
    New Georgia is the largest and most prominent island in the New Georgia Islands group of the Solomon Islands in the South Pacific.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be778a642081908761067765ba09c8 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:28 p.m.