Triple
T15264922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren County, Georgia |
E364873
|
entity |
| Predicate | hasCountySeat |
P383
|
FINISHED |
| Object | Warrenton, Georgia |
E273382
|
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: Warrenton, Georgia | Statement: [Warren County, Georgia, hasCountySeat, Warrenton, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warrenton, Georgia Context triple: [Warren County, Georgia, hasCountySeat, Warrenton, Georgia]
-
A.
Warrenton, Georgia
chosen
Warrenton, Georgia is a small historic city in east-central Georgia that serves as the county seat of Warren County.
-
B.
Waynesboro, Georgia
Waynesboro, Georgia is a small historic city in eastern Georgia known for its agricultural surroundings and role as a local economic and cultural center.
-
C.
Winston, Georgia
Winston, Georgia is an unincorporated community in Douglas County known primarily as a small residential area within the Atlanta metropolitan region.
-
D.
Williamson, Georgia
Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
-
E.
Arlington, Georgia
Arlington, Georgia is a small rural city in the southwestern part of the state known historically for its agricultural economy and tight-knit community.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fdc21881909d87062db6fb8fb7 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.