Triple
T2465707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ritter |
E55242
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Madera County |
E8275
|
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: Madera County | Statement: [Mount Ritter, county, Madera County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madera County Context triple: [Mount Ritter, county, Madera County]
-
A.
Madera County
chosen
Madera County is a county in central California known for encompassing part of Yosemite National Park and serving as a gateway to the Sierra Nevada.
-
B.
Stanislaus County
Stanislaus County is a largely agricultural county in California’s Central Valley, centered around the city of Modesto and known for its farming, food processing, and growing suburban communities.
-
C.
Mariposa County
Mariposa County is a rural county in central California best known as the gateway to much of Yosemite National Park and the Sierra Nevada.
-
D.
Lea County
Lea County is a largely rural, oil- and gas-producing county in southeastern New Mexico known for its energy industry and agricultural activities.
-
E.
Tuolumne County
Tuolumne County is a rural county in the Sierra Nevada region of California known for its mountainous landscapes, outdoor recreation, and inclusion of part of Yosemite National Park.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd122db8881909ef3c0a1df7ff7a5 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af179ccbd081908b7cff0052597e85 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:44 p.m.