Triple
T21854793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahalangur Himal |
E539594
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gyachung Kang |
—
|
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: Gyachung Kang | Statement: [Mahalangur Himal, contains, Gyachung Kang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyachung Kang Context triple: [Mahalangur Himal, contains, Gyachung Kang]
-
A.
Gyachung Kang
chosen
Gyachung Kang is a prominent Himalayan mountain peak, one of the world’s highest, located between Nepal and China in the Mahalangur Himal range.
-
B.
Gaden Namgyal Lhatse
Gaden Namgyal Lhatse is a prominent 17th-century Tibetan Buddhist monastery, better known as Tawang Monastery, located in the Indian state of Arunachal Pradesh.
-
C.
Shishapangma
Shishapangma is one of the world’s fourteen eight-thousanders, a major Himalayan peak located entirely within Tibet, China.
-
D.
Kangrinboqê Peak
Kangrinboqê Peak is the Tibetan name for Mount Kailash, a sacred mountain in the Himalayas revered in Hinduism, Buddhism, Jainism, and Bon.
-
E.
Lachulung La
Lachulung La is a high-altitude mountain pass in the Indian Himalayas, located in Ladakh along the route between Manali and Leh.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0bd5ba9288190af962117124f6483 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:56 p.m.