Triple
T13336061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Towns County |
E317695
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Young Harris
Young Harris is a small town in northern Georgia best known as the home of Young Harris College and its scenic Appalachian Mountain setting.
|
E1035280
|
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: Young Harris | Statement: [Towns County, contains, Young Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Harris Context triple: [Towns County, contains, Young Harris]
-
A.
Macon Leary
Macon Leary is the emotionally reserved, travel-guide-writing protagonist of Anne Tyler’s novel "The Accidental Tourist," whose life is upended by grief and an unexpected new relationship.
-
B.
Tarrant Hinton
Tarrant Hinton is a small rural village in Dorset, England, best known for hosting the annual Great Dorset Steam Fair.
-
C.
Harrell
Harrell is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Asa Biggs
Asa Biggs was a 19th-century American politician from North Carolina who served as a U.S. Representative, U.S. Senator, and later a federal judge.
-
E.
Heflin
Heflin is a small city in eastern Alabama that serves as the administrative and commercial hub of Cleburne County.
- 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: Young Harris Triple: [Towns County, contains, Young Harris]
Generated description
Young Harris is a small town in northern Georgia best known as the home of Young Harris College and its scenic Appalachian Mountain setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Young Harris Target entity description: Young Harris is a small town in northern Georgia best known as the home of Young Harris College and its scenic Appalachian Mountain setting.
-
A.
Macon Leary
Macon Leary is the emotionally reserved, travel-guide-writing protagonist of Anne Tyler’s novel "The Accidental Tourist," whose life is upended by grief and an unexpected new relationship.
-
B.
Tarrant Hinton
Tarrant Hinton is a small rural village in Dorset, England, best known for hosting the annual Great Dorset Steam Fair.
-
C.
Harrell
Harrell is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Asa Biggs
Asa Biggs was a 19th-century American politician from North Carolina who served as a U.S. Representative, U.S. Senator, and later a federal judge.
-
E.
Heflin
Heflin is a small city in eastern Alabama that serves as the administrative and commercial hub of Cleburne County.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f39f298819088d79cda3ac2b375 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221af9e881908b65ab2e7aec0c78 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.