Triple
T665039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia State Route 26 |
E12841
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Dooly County
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
|
E128770
|
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: Dooly County | Statement: [Georgia State Route 26, passesThrough, Dooly County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dooly County Context triple: [Georgia State Route 26, passesThrough, Dooly County]
-
A.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
B.
Schley County
Schley County is a rural county in west-central Georgia known for its small population, agricultural landscape, and the county seat of Ellaville.
-
C.
Crisp County
Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
-
D.
Toombs County
Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
-
E.
McIntosh County
McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
- 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: Dooly County Triple: [Georgia State Route 26, passesThrough, Dooly County]
Generated description
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dooly County Target entity description: Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
A.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
B.
Schley County
Schley County is a rural county in west-central Georgia known for its small population, agricultural landscape, and the county seat of Ellaville.
-
C.
Crisp County
Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
-
D.
Toombs County
Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
-
E.
McIntosh County
McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd3d8fc8190866af5c76c08f486 |
completed | March 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5372f6b481909ef061889f91f6be |
completed | March 7, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69ac54126e008190a1eda9118d15b5f0 |
completed | March 7, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac546db5a081909678bbde71ac1abc |
completed | March 7, 2026, 4:38 p.m. |
Created at: March 1, 2026, 7:36 p.m.