Triple

T11214556
Position Surface form Disambiguated ID Type / Status
Subject John Gill Shorter E265399 entity
Predicate birthPlace P1 FINISHED
Object Monticello, Georgia E246607 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: Monticello, Georgia | Statement: [John Gill Shorter, birthPlace, Monticello, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monticello, Georgia
Context triple: [John Gill Shorter, birthPlace, Monticello, Georgia]
  • A. Monticello, Georgia chosen
    Monticello, Georgia is a small historic city in Jasper County known for its 19th-century architecture and role in Georgia’s early political and cultural development.
  • B. Mount Vernon, Georgia
    Mount Vernon, Georgia is a small city in southeastern Georgia that serves as the administrative and cultural center of Montgomery County.
  • C. Monroe, Georgia
    Monroe, Georgia is a small city in Walton County that serves as a historic community and local economic center within the greater Atlanta metropolitan region.
  • D. Marble Hill, Georgia
    Marble Hill, Georgia is a small unincorporated community located in rural north-central Georgia within Pickens County.
  • E. Locust Grove, Georgia
    Locust Grove, Georgia is a small city in Henry County known for its historic downtown, outlet shopping, and role as a growing suburb in the Atlanta metropolitan area.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d7f47c8190b78c640ff1a01943 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49762e3188190ba3c0e01cf04f6a1 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.