Triple
T1565082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangchenjunga |
E33414
|
entity |
| Predicate | subrange |
P2889
|
FINISHED |
| Object | Kangchenjunga Himal |
E33414
|
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: Kangchenjunga Himal | Statement: [Kangchenjunga, subrange, Kangchenjunga Himal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kangchenjunga Himal Context triple: [Kangchenjunga, subrange, Kangchenjunga Himal]
-
A.
Kangchenjunga
chosen
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
-
B.
Makalu
Makalu is the fifth-highest mountain in the world, a prominent 8,485-meter peak on the border between Nepal and China known for its steep faces and challenging climbing routes.
-
C.
K2
K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
-
D.
Shkhara
Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
-
E.
Dhaulagiri
Dhaulagiri is one of the world’s highest and most prominent peaks, a massive Himalayan mountain in north-central Nepal renowned for its steep slopes and challenging climbing routes.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621242188190a7e1deeada7688d8 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3719dfdc819085511f96f9f92dba |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.