Triple
T4162367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Kern County |
E91559
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ridgecrest |
E39189
|
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: Ridgecrest | Statement: [East Kern County, contains, Ridgecrest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ridgecrest Context triple: [East Kern County, contains, Ridgecrest]
-
A.
Ridgecrest, California
chosen
Ridgecrest, California is a small Mojave Desert city in Kern County best known as the civilian community adjacent to the U.S. Navy’s China Lake Naval Air Weapons Station.
-
B.
Desert Hot Springs
Desert Hot Springs is a small California city in the Coachella Valley known for its natural hot mineral springs and spa resorts.
-
C.
Furnace Creek
Furnace Creek is a small settlement and visitor hub in California’s Death Valley National Park, known for its extreme heat records and proximity to major desert attractions like Badwater Basin.
-
D.
Artesia
Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
-
E.
Artesia
Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a811608190aff8b663498711e8 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f456bf88190b9b8678476ac3803 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.