Triple

T4825454
Position Surface form Disambiguated ID Type / Status
Subject Tattnall County E107811 entity
Predicate hasNotableTown P14082 FINISHED
Object Glennville E473406 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: Glennville | Statement: [Tattnall County, hasNotableTown, Glennville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glennville
Context triple: [Tattnall County, hasNotableTown, Glennville]
  • A. Glennville chosen
    Glennville is a small city in southeastern Georgia, United States, known for its agricultural surroundings and rural community character.
  • B. Thomasville
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • C. Grantville, Georgia
    Grantville, Georgia is a small city in west-central Georgia known for its historic downtown and role as a filming location for several movies and television shows.
  • D. Ellijay
    Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
  • E. Cedartown
    Cedartown is a small city in northwestern Georgia known historically for its location within the mineral-rich Georgia Gold Belt and its role as a local industrial and railroad hub.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cadb2bc81909455149e46eb593a completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cb34004819086809b4a7071f4a5 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:24 p.m.