Triple

T21379345
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 42 E527300 entity
Predicate terminusSouth P1866 FINISHED
Object Byron, 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: Byron, Georgia | Statement: [Georgia State Route 42, terminusSouth, Byron, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byron, Georgia
Context triple: [Georgia State Route 42, terminusSouth, Byron, Georgia]
  • A. Byron, Georgia chosen
    Byron, Georgia is a small city in central Georgia known for its historic downtown, proximity to Warner Robins, and role as a residential and commercial community along major transportation routes.
  • B. Byromville, Georgia
    Byromville, Georgia is a small rural town located in central Georgia within Dooly County.
  • C. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • D. Morrow, Georgia
    Morrow, Georgia is a small suburban city in the Atlanta metropolitan area known for housing Clayton State University and various retail and commercial centers.
  • E. Buchanan, Georgia
    Buchanan, Georgia is a small city in northwestern Georgia that serves as the administrative and governmental center of Haralson County.
  • 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.