Triple
T16534395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiftcurrent Lake |
E401649
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Altyn Peak |
E846454
|
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: Altyn Peak | Statement: [Swiftcurrent Lake, hasViewOf, Altyn Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altyn Peak Context triple: [Swiftcurrent Lake, hasViewOf, Altyn Peak]
-
A.
Altyn Peak
chosen
Altyn Peak is a prominent mountain in Glacier National Park in Montana, known for its rugged cliffs and scenic backdrop above the Many Glacier area.
-
B.
Gerlach Peak
Gerlach Peak is the highest mountain in the High Tatras and in Slovakia, renowned as the tallest summit in the entire Carpathian mountain range.
-
C.
Olancha Peak
Olancha Peak is a prominent mountain in the southern Sierra Nevada of California, known for its rugged terrain and scenic views over the Owens Valley.
-
D.
Tomur Peak
Tomur Peak is a prominent 7,000-meter-class mountain in the Tian Shan range, known as one of the highest and most challenging summits in Central Asia.
-
E.
Khüiten Peak
Khüiten Peak is the tallest mountain in Mongolia, located in the Altai Range near the country's western border.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32eda42548190be61efb25a44a554 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092f9b9cfc819083537d00a635b8e5 |
completed | May 17, 2026, 3:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.