Triple

T10304267
Position Surface form Disambiguated ID Type / Status
Subject Diggstown E241710 entity
Predicate settingLocation P40 FINISHED
Object Diggstown, Georgia
Diggstown, Georgia is a fictional small town that serves as the primary setting for the boxing-themed film "Diggstown."
 E854196 NE FINISHED

How this triple was built (4 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: Diggstown, Georgia | Statement: [Diggstown, settingLocation, Diggstown, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diggstown, Georgia
Context triple: [Diggstown, settingLocation, Diggstown, Georgia]
  • A. Dillon, Georgia
    Dillon, Georgia is a small unincorporated rural community located in Thomas County in the southern part of the state.
  • B. Donalsonville, Georgia
    Donalsonville, Georgia is a small city in the southwestern part of the state known as the administrative and commercial hub of Seminole County.
  • C. Dudley, Georgia
    Dudley, Georgia is a small city in central Georgia, United States, known for its rural character and proximity to the larger city of Dublin.
  • D. 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.
  • E. Drayton, Georgia
    Drayton, Georgia is a small unincorporated rural community located in Dooly County in the central part of the state.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Diggstown, Georgia
Triple: [Diggstown, settingLocation, Diggstown, Georgia]
Generated description
Diggstown, Georgia is a fictional small town that serves as the primary setting for the boxing-themed film "Diggstown."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diggstown, Georgia
Target entity description: Diggstown, Georgia is a fictional small town that serves as the primary setting for the boxing-themed film "Diggstown."
  • A. Dillon, Georgia
    Dillon, Georgia is a small unincorporated rural community located in Thomas County in the southern part of the state.
  • B. Donalsonville, Georgia
    Donalsonville, Georgia is a small city in the southwestern part of the state known as the administrative and commercial hub of Seminole County.
  • C. Dudley, Georgia
    Dudley, Georgia is a small city in central Georgia, United States, known for its rural character and proximity to the larger city of Dublin.
  • D. 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.
  • E. Drayton, Georgia
    Drayton, Georgia is a small unincorporated rural community located in Dooly County in the central part of the state.
  • F. None of above. chosen

Provenance (5 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d308f034819098da69b963eb8a02 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d58416081909a010e905d70e934 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:45 a.m.