Triple

T13447873
Position Surface form Disambiguated ID Type / Status
Subject Narrows, Georgia, United States E320531 entity
Predicate locatedIn P40 FINISHED
Object Franklin County, Georgia
Franklin County, Georgia is a rural county in northeastern Georgia known for its small towns, agricultural economy, and location along the Interstate 85 corridor near the South Carolina border.
E1768780 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: Franklin County, Georgia | Statement: [Narrows, Georgia, United States, locatedIn, Franklin County, Georgia]
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: Franklin County, Georgia
Triple: [Narrows, Georgia, United States, locatedIn, Franklin County, Georgia]
Generated description
Franklin County, Georgia is a rural county in northeastern Georgia known for its small towns, agricultural economy, and location along the Interstate 85 corridor near the South Carolina border.

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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a79f56988190b6f1322c79cb5cbf completed May 24, 2026, 7:24 a.m.
NEDg Description generation batch_6a12a836c29081909204e8050475b90a completed May 24, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_6a12a8c42ba88190bff494510a3bbbcd completed May 24, 2026, 7:29 a.m.
Created at: April 9, 2026, 9:41 p.m.