Triple
T2498716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forester Pass |
E52411
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Williamson |
E218047
|
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: Mount Williamson | Statement: [Forester Pass, near, Mount Williamson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Williamson Context triple: [Forester Pass, near, Mount Williamson]
-
A.
Mount Hunter
Mount Hunter is a prominent, heavily glaciated peak in Alaska known for its steep faces and challenging alpine climbing routes.
-
B.
Hamlin Peak
Hamlin Peak is a prominent subpeak of Maine’s Mount Katahdin, known for its alpine terrain and panoramic views within Baxter State Park.
-
C.
Mount Farquhar
chosen
Mount Farquhar is a high, rugged peak in California’s Sierra Nevada, located along the remote Great Western Divide within Sequoia National Park.
-
D.
Mount Owen
Mount Owen is a prominent high peak in Wyoming’s Teton Range, known for its rugged alpine terrain and challenging climbing routes.
-
E.
Mount Eddy
Mount Eddy is a prominent peak in Northern California known for its alpine terrain, diverse geology, and extensive hiking opportunities within the Klamath Mountains region.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ae9040819091b3ca5b98659e99 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360793f908190b0341c003207cc6f |
completed | March 13, 2026, 12:55 a.m. |
Created at: March 6, 2026, 9:46 p.m.