Triple

T15524611
Position Surface form Disambiguated ID Type / Status
Subject CobbLinc E369050 entity
Predicate serves P98 FINISHED
Object Smyrna, Georgia E369045 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: Smyrna, Georgia | Statement: [CobbLinc, serves, Smyrna, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smyrna, Georgia
Context triple: [CobbLinc, serves, Smyrna, Georgia]
  • A. Smyrna, Georgia chosen
    Smyrna, Georgia is a suburban city in the Atlanta metropolitan area known for its rapid growth, revitalized downtown, and proximity to major attractions like Truist Park.
  • B. Sardis, Georgia
    Sardis, Georgia is a small rural town in eastern Georgia known for its agricultural surroundings and close-knit community.
  • C. Sparta, Georgia
    Sparta, Georgia is a small historic city in Hancock County known for its antebellum architecture and role as a rural county seat in central Georgia.
  • D. Bethlehem, Georgia
    Bethlehem, Georgia is a small town in northeastern Georgia known for its Christmas-themed name and seasonal postmark that attracts holiday mail from across the country.
  • E. St. Marys, Georgia
    St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4552a8dc819082cb6c31a2c05606 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:05 a.m.