Triple
T21908918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalimpong hill stations |
E541011
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Kanchenjunga |
—
|
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: Kanchenjunga | Statement: [Kalimpong hill stations, hasViewOf, Kanchenjunga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanchenjunga Context triple: [Kalimpong hill stations, hasViewOf, Kanchenjunga]
-
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.
Kinnauri
Kinnauri is a Tibeto-Burman language spoken primarily by the indigenous people of India’s Himalayan Kinnaur region.
-
D.
Ganjshakar
Ganjshakar is the revered Sufi saint Baba Farid’s honorific title, signifying him as a spiritual figure of great sanctity and generosity in the Chishti tradition.
-
E.
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.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d8c3108190a178ec6b3857da3f |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:39 p.m.