Triple
T11797650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shreveport Pirates |
E280539
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Shreveport metropolitan area |
—
|
NE GENERATED |
How this triple was built (1 step)
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shreveport metropolitan area Context triple: [Shreveport Pirates, basedIn, Shreveport metropolitan area]
-
A.
Shreveport–Bossier City metropolitan area
chosen
The Shreveport–Bossier City metropolitan area is a regional urban hub in northwestern Louisiana centered on the twin cities of Shreveport and Bossier City, known for its casinos, healthcare and service industries, and role as an economic and cultural center for the Ark-La-Tex region.
-
B.
Shreveport
Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
-
C.
Baton Rouge metropolitan area
The Baton Rouge metropolitan area is a multi-parish urban region in southeastern Louisiana centered on the city of Baton Rouge, serving as a major hub for government, industry, education, and culture.
-
D.
Houma–Thibodaux metropolitan area
The Houma–Thibodaux metropolitan area is a region in southeastern Louisiana centered on the cities of Houma and Thibodaux, known for its oil and gas industry, coastal wetlands, and Cajun culture.
-
E.
Bossier City
Bossier City is a mid-sized city in northwestern Louisiana, located across the Red River from Shreveport and known as part of a regional economic and casino-gaming hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (1 batch)
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:42 p.m.