Triple
T10600781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuptse |
E275739
|
entity |
| Predicate | hasSubpeak |
P7612
|
FINISHED |
| Object | Nuptse Nup |
E275739
|
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: Nuptse Nup | Statement: [Nuptse, hasSubpeak, Nuptse Nup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuptse Nup Context triple: [Nuptse, hasSubpeak, Nuptse Nup]
-
A.
Nuptse
chosen
Nuptse is a prominent Himalayan mountain peak in the Everest region of Nepal, known for its steep, dramatic ridges and challenging climbing routes.
-
B.
Scorpion Gyul
Scorpion Gyul is a popular chutney music song by Trinidadian singer Sundar Popo, known for its lively blend of Indian and Caribbean musical influences.
-
C.
Rigu
Rigu is a traditional garment worn by women of the Dimasa community, typically characterized by its handwoven fabric and distinctive patterns.
-
D.
Nagqu
Nagqu is a high-altitude town and prefecture-level area in northern Tibet, China, known as a key stop on the Qinghai–Tibet route and a gateway to the surrounding plateau and mountain regions.
-
E.
Agaunum
Agaunum is the historical name for the Swiss town of Saint-Maurice, renowned as an early Christian pilgrimage site and monastic center.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ea8f1688190aa36e29b52667d26 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:31 p.m.