Triple
T17472847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Lombardo |
E425461
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Carson City, Nevada |
—
|
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: Carson City, Nevada | Statement: [Joe Lombardo, workLocation, Carson City, Nevada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carson City, Nevada Context triple: [Joe Lombardo, workLocation, Carson City, Nevada]
-
A.
Carson City
chosen
Carson City is the capital of the U.S. state of Nevada, located in the western part of the state near the Sierra Nevada mountains.
-
B.
Boulder City, Nevada
Boulder City, Nevada is a planned community in southern Nevada best known for housing workers during the construction of Hoover Dam and for being one of the few U.S. cities where gambling is prohibited.
-
C.
Reno
Reno is a city in northwestern Nevada known for its casinos, tourism, and proximity to outdoor recreation areas in the Sierra Nevada, including Lake Tahoe.
-
D.
Reno
Reno is a small city located in Parker County in the U.S. state of Texas.
-
E.
Stateline, Nevada
Stateline, Nevada is a small resort town on the south shore of Lake Tahoe known for its casinos, hotels, and outdoor recreation at the California–Nevada border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451b990848190b2e8510d67e94b79 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.