Triple
T17730185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirror Lake Trail |
E442565
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Tenaya Creek |
—
|
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: Tenaya Creek | Statement: [Mirror Lake Trail, follows, Tenaya Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenaya Creek Context triple: [Mirror Lake Trail, follows, Tenaya Creek]
-
A.
Tenaya Creek
chosen
Tenaya Creek is a mountain stream in Yosemite National Park that drains Tenaya Canyon and flows into the Merced River.
-
B.
Bridal Veil Creek
Bridal Veil Creek is the mountain stream in Colorado that feeds and drains the scenic Bridal Veil Falls near Telluride.
-
C.
Donner Creek
Donner Creek is a stream in the Sierra Nevada of California that drains Donner Lake and flows eastward toward the Truckee River.
-
D.
Gold Creek
Gold Creek is a small stream in Washington State’s Olympic Peninsula that feeds into the Dungeness River within its forested watershed.
-
E.
Yosemite Creek
Yosemite Creek is a mountain stream in Yosemite National Park that feeds the iconic Yosemite Falls before joining the Merced River.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e5ba7c81908f8b06eb6859067f |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.