Triple
T16153797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godwin-Austen Glacier |
E391981
|
entity |
| Predicate | featureOf |
P1094
|
FINISHED |
| Object | K2 massif |
E9638
|
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: K2 massif | Statement: [Godwin-Austen Glacier, featureOf, K2 massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K2 massif Context triple: [Godwin-Austen Glacier, featureOf, K2 massif]
-
A.
Gasherbrum massif
The Gasherbrum massif is a prominent group of high peaks in the Karakoram range of the Himalayas, straddling the Pakistan–China border and including several of the world’s tallest mountains.
-
B.
Baltoro Muztagh
Baltoro Muztagh is a prominent subrange of the Karakoram in the Himalayas, known for its towering peaks and extensive glaciers, including some of the world’s highest mountains.
-
C.
K2
chosen
K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
-
D.
K2
K2 is a prominent outdoor recreation brand best known for its skis, snowboards, and other winter sports equipment.
-
E.
Ulugh Muztagh
Ulugh Muztagh is a high, remote mountain peak in the eastern Kunlun range of the Tibetan Plateau in China.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffef4f96c8190aec3e1411c1d9471 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:01 a.m.