Triple
T7834288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eight-thousander |
E181651
|
entity |
| Predicate | includesMountain |
P10602
|
FINISHED |
| Object | K2 |
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 | Statement: [Eight-thousander, includesMountain, K2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K2 Context triple: [Eight-thousander, includesMountain, K2]
-
A.
K2
chosen
K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
-
B.
K2
K2 is a prominent outdoor recreation brand best known for its skis, snowboards, and other winter sports equipment.
-
C.
Nanga Parbat
Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
-
D.
Rakaposhi
Rakaposhi is a prominent 7,788-meter peak in the Karakoram range of northern Pakistan, renowned for its dramatic rise above the surrounding valleys and its striking, pyramid-like profile.
-
E.
Tirich Mir
Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9340c99c819085294de7466f40eb |
completed | April 1, 2026, 3:38 a.m. |
Created at: March 30, 2026, 4:45 p.m.