Triple

T21548846
Position Surface form Disambiguated ID Type / Status
Subject Valdosta Metropolitan Statistical Area E531704 entity
Predicate containsTown P847 FINISHED
Object Pavo, 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: Pavo, Georgia | Statement: [Valdosta Metropolitan Statistical Area, containsTown, Pavo, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavo, Georgia
Context triple: [Valdosta Metropolitan Statistical Area, containsTown, Pavo, Georgia]
  • A. Pavo, Georgia chosen
    Pavo, Georgia is a small rural community in southern Georgia known for its agricultural surroundings and small-town character.
  • B. Parrott, Georgia
    Parrott, Georgia is a small rural town in Terrell County in southwestern Georgia, known for its historic charm and traditional Southern character.
  • C. Vidette, Georgia
    Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
  • D. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • E. Vaughn, Georgia
    Vaughn, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of 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_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.