Triple
T5391442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linden, Alabama |
E120338
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Marengo County |
E171067
|
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: Marengo County | Statement: [Linden, Alabama, county, Marengo County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marengo County Context triple: [Linden, Alabama, county, Marengo County]
-
A.
Marengo County
chosen
Marengo County is a rural county in west-central Alabama known for its agricultural economy, historic small towns, and location in the state's Black Belt region.
-
B.
Suwannee County
Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
-
C.
Colbert County
Colbert County is a county in northwestern Alabama known for its location along the Tennessee River and its role in the Muscle Shoals metropolitan area.
-
D.
Sumter County
Sumter County is a largely rural county in west-central Georgia known for its agricultural economy and the city of Americus as its county seat.
-
E.
Sumter County
Sumter County is a rural county in western Alabama known for its agricultural landscape, small communities, and location along the Mississippi state line.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd87185f788190bd5244a1f7dbb5c8 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bff960da7c8190a72458b56f6c5c52 |
completed | March 22, 2026, 2:14 p.m. |
Created at: March 20, 2026, 2:04 p.m.