Triple
T15102162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waynesboro, Georgia |
E360693
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Burke County |
E1126432
|
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: Burke County | Statement: [Waynesboro, Georgia, county, Burke County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burke County Context triple: [Waynesboro, Georgia, county, Burke County]
-
A.
Burke County
chosen
Burke County is a largely rural county in eastern Georgia known for its agricultural landscape and small towns such as Sardis and Waynesboro.
-
B.
Randolph County
Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
-
C.
Baca County
Baca County is a sparsely populated, agriculture-focused county located in the southeastern corner of the U.S. state of Colorado.
-
D.
Bamberg County
Bamberg County is a rural county in South Carolina known for its agricultural landscape and small-town communities in the state’s southern region.
-
E.
Hickman County
Hickman County is a rural county in far western Kentucky, known for its location along the Mississippi River within the Jackson Purchase region.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f24967c8190b0bdb84b88a0aaa3 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 3:05 a.m.