Triple

T10122315
Position Surface form Disambiguated ID Type / Status
Subject Macon County, Georgia E223324 entity
Predicate largestCity P235 FINISHED
Object Montezuma, Georgia E516217 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: Montezuma, Georgia | Statement: [Macon County, Georgia, largestCity, Montezuma, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montezuma, Georgia
Context triple: [Macon County, Georgia, largestCity, Montezuma, Georgia]
  • A. Montezuma, Georgia chosen
    Montezuma, Georgia is a small city in central Georgia known as the largest municipality in Macon County and part of the broader Americus–Cordele–Vienna combined statistical area.
  • B. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • C. Zebulon, Georgia
    Zebulon, Georgia is a small historic city in central Georgia that serves as the administrative and cultural hub of Pike County.
  • D. Valdosta, Georgia
    Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
  • E. Jesup, Georgia
    Jesup, Georgia is a small city in southeastern Georgia that serves as the county seat of Wayne County and a regional hub for rail and outdoor recreation.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26846b8819098594bf211920eb2 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc493db88190b3b09a77b82b3cc9 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:05 p.m.