Triple
T21167884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meigs Street |
E521615
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Clarke County |
—
|
NE NERFINISHED |
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: Clarke County | Statement: [Meigs Street, county, Clarke County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarke County Context triple: [Meigs Street, county, Clarke County]
-
A.
Clarke County
Clarke County is a rural county in south-central Iowa known for its agricultural landscape and small communities.
-
B.
Clarke County
Clarke County is a rural county in southwestern Alabama known for its timber industry, river landscapes, and historic small towns.
-
C.
Clarke County
Clarke County is a county in northeastern Georgia that includes the city of Athens and is known for being home to the University of Georgia.
-
D.
Marion County
Marion County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key east–west transportation routes.
-
E.
Marion County
Marion County is a rural county in northwestern Alabama known for its small towns, forests, and part of the Bankhead National Forest region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72710c73881908d41aedff8984da9 |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.