Triple
T2983360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Paget |
E80562
|
entity |
| Predicate | mapLabel |
P13793
|
FINISHED |
| Object | Mount Paget |
E80562
|
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 Paget | Statement: [Mount Paget, mapLabel, Mount Paget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Paget Context triple: [Mount Paget, mapLabel, Mount Paget]
-
A.
Mount Paget
chosen
Mount Paget is a prominent, heavily glaciated mountain and the highest peak on the sub-Antarctic island of South Georgia in the southern Atlantic Ocean.
-
B.
Mount Hunter
Mount Hunter is a prominent, heavily glaciated peak in Alaska known for its steep faces and challenging alpine climbing routes.
-
C.
Mount Farquhar
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 Broderick
Mount Broderick is a granite dome in Yosemite National Park, California, located near Nevada Fall and often noted for its striking profile alongside nearby Liberty Cap.
-
E.
Mount Tur
Mount Tur is a sacred mountain in the Islamic tradition, associated with the Prophet Moses and the revelation of divine commandments.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eede693c8190a49be9d267bed6fa |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:58 p.m.