Triple
T14640984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Parks |
E343721
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Corona, California, United States |
—
|
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: Corona, California, United States Context triple: [Michael Parks, placeOfBirth, Corona, California, United States]
-
A.
Corona, California
chosen
Corona, California is a rapidly growing suburban city in Riverside County known for its residential communities, proximity to major Southern California freeways, and role as a gateway between Orange County and the Inland Empire.
-
B.
Torrance, California, United States
Torrance is a coastal city in Los Angeles County, California, known as a suburban residential and commercial hub in the South Bay region of the Greater Los Angeles area.
-
C.
Camarillo, California, United States
Camarillo is a suburban city in Ventura County, California, known for its mild climate, agricultural surroundings, and outlet shopping, located northwest of Los Angeles.
-
D.
El Centro, California, United States
El Centro is a small city in California’s Imperial Valley near the U.S.–Mexico border, known as an agricultural and regional commercial center.
-
E.
Corona, Queens
Corona, Queens is a diverse residential neighborhood in north-central Queens, New York City, known for its vibrant Latin American community and proximity to Flushing Meadows–Corona Park.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:26 a.m.