Triple

T21379357
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 42 E527300 entity
Predicate passesThrough P225 FINISHED
Object Griffin, 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: Griffin, Georgia | Statement: [Georgia State Route 42, passesThrough, Griffin, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffin, Georgia
Context triple: [Georgia State Route 42, passesThrough, Griffin, Georgia]
  • A. Griffin, Georgia chosen
    Griffin, Georgia is a small city in Spalding County known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
  • B. Garfield, Georgia
    Garfield, Georgia is a small unincorporated rural community located in Jenkins County in the U.S. state of Georgia.
  • C. Fairmount, Georgia
    Fairmount, Georgia is a small rural city in northwestern Georgia known for its quiet community and proximity to the foothills of the Appalachian Mountains.
  • D. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • E. Grovetown, Georgia
    Grovetown, Georgia is a small but rapidly growing city in the Augusta metropolitan area 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cc2b5c8190aa5f20f920523fe9 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.