Triple
T20112487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 89 |
E490367
|
entity |
| Predicate | passesBy |
P3947
|
FINISHED |
| Object | Lake Almanor |
—
|
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: Lake Almanor | Statement: [SR 89, passesBy, Lake Almanor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Almanor Context triple: [SR 89, passesBy, Lake Almanor]
-
A.
Lake Almanor
chosen
Lake Almanor is a large, man-made reservoir in Northern California known for its scenic mountain setting and popular fishing, boating, and camping opportunities.
-
B.
Mission Lake
Mission Lake is a scenic prairie lake in southern Saskatchewan, Canada, known as one of the Fishing Lakes in the Qu’Appelle Valley.
-
C.
Mission Lake
Mission Lake is a small inland lake located within the city of Plymouth in the U.S. state of Minnesota.
-
D.
Lake Miwok
Lake Miwok is an extinct Native American language formerly spoken by the Miwok people around Clear Lake in Northern California.
-
E.
Lake Siskiyou
Lake Siskiyou is a scenic reservoir near Mount Shasta in Northern California, popular for fishing, boating, swimming, and views of the surrounding mountains.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e21f908190b46c747662ff378a |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.