Triple

T11184911
Position Surface form Disambiguated ID Type / Status
Subject SR 16 (Georgia) E264638 entity
Predicate passesThrough P225 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: [SR 16 (Georgia), passesThrough, Monticello, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monticello, Georgia
Context triple: [SR 16 (Georgia), passesThrough, 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8abbeac8190ad6e419258999f4e completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483d0f4548190b97c7725a9f7c0e6 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.