Triple
T17548529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhwal Himalaya |
E427391
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Kamet |
—
|
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: Kamet | Statement: [Garhwal Himalaya, hasPeak, Kamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamet Context triple: [Garhwal Himalaya, hasPeak, Kamet]
-
A.
Kamet
chosen
Kamet is a prominent Himalayan mountain in the Garhwal region of Uttarakhand, India, known for being one of the country’s highest and most challenging peaks to climb.
-
B.
Gondogoro Peak
Gondogoro Peak is a high mountain in Pakistan’s Karakoram range, popular with trekkers and climbers for its challenging ascent and views of nearby 8,000-meter giants.
-
C.
Mytikas Peak
Mytikas Peak is the highest summit of Mount Olympus in Greece and the country’s tallest mountain point.
-
D.
Mount Mashuk
Mount Mashuk is a prominent volcanic mountain in Russia’s North Caucasus region, known for overlooking the spa city of Pyatigorsk and offering panoramic views and hiking opportunities.
-
E.
Larkya Peak
Larkya Peak is a high Himalayan mountain in Nepal, known as one of the prominent summits of the Mansiri Himal range near the Manaslu region.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454631e148190a1d46a6ecb79c71a |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.