Triple
T14303141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slocomb, Alabama |
E354620
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Geneva County |
E134469
|
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: Geneva County | Statement: [Slocomb, Alabama, county, Geneva County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geneva County Context triple: [Slocomb, Alabama, county, Geneva County]
-
A.
Geneva County
chosen
Geneva County is a rural county in southeastern Alabama known for its agriculture and small-town communities near the Florida state line.
-
B.
Berrien County
Berrien County is a rural county in south-central Georgia, United States, known for its agricultural economy and small-town communities.
-
C.
Portage County
Portage County is a county in central Wisconsin known for its mix of agricultural land, small communities, and the city of Stevens Point as its county seat.
-
D.
Portage County
Portage County is a county in northeastern Ohio known for its mix of rural communities, small cities, and proximity to the Akron and Cleveland metropolitan areas.
-
E.
Huron County
Huron County is a predominantly rural county in southwestern Ontario, Canada, known for its agriculture, small towns, and Lake Huron shoreline.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2883e081909c53170ef30b4125 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.