Triple
T20494366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truckee Tahoe Airport |
E502830
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Truckee |
—
|
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: Truckee | Statement: [Truckee Tahoe Airport, serves, Truckee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truckee Context triple: [Truckee Tahoe Airport, serves, Truckee]
-
A.
Truckee
chosen
Truckee is a historic mountain town in California’s Sierra Nevada, known for its proximity to Lake Tahoe, outdoor recreation, and preserved Old West-style downtown.
-
B.
Tahoe City
Tahoe City is a small resort community in California known as a popular gateway to outdoor recreation and tourism on the shores of Lake Tahoe.
-
C.
Lee Vining
Lee Vining is a small Eastern Sierra town in California known as a gateway to Yosemite National Park and the nearby Mono Lake.
-
D.
Yuba City
Yuba City is a small agricultural and commercial hub in Northern California’s Sacramento Valley, serving as the county seat of Sutter County.
-
E.
Nevada City
Nevada City is a historic Gold Rush-era town in Northern California known for its well-preserved 19th-century architecture and role in the state’s mining heritage.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbc58d08190bf3f6b60259a8be1 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.