Triple

T21548853
Position Surface form Disambiguated ID Type / Status
Subject Valdosta Metropolitan Statistical Area E531704 entity
Predicate containsTown P847 FINISHED
Object Sparks, 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: Sparks, Georgia | Statement: [Valdosta Metropolitan Statistical Area, containsTown, Sparks, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparks, Georgia
Context triple: [Valdosta Metropolitan Statistical Area, containsTown, Sparks, Georgia]
  • A. Sparks, Georgia chosen
    Sparks, Georgia is a small town in south-central Georgia, United States, known for its rural character and location within Cook County.
  • B. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • C. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • D. Fitzgerald, Georgia
    Fitzgerald, Georgia is a small city in south-central Georgia known for its unique history as a planned community for Union and Confederate veterans and its famous wild Burmese chicken population.
  • E. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb590bb0881908cd849096696db10 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.