Triple
T2882914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibetan Kangyur |
E59437
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Urga Kangyur |
E59437
|
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: Urga Kangyur | Statement: [Tibetan Kangyur, hasVariant, Urga Kangyur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urga Kangyur Context triple: [Tibetan Kangyur, hasVariant, Urga Kangyur]
-
A.
Tibetan Kangyur
chosen
The Tibetan Kangyur is the canonical collection of Tibetan Buddhist scriptures containing the translated words of the Buddha, including sutras, tantras, and monastic rules.
-
B.
Nyima Gyaltsen
Nyima Gyaltsen is a mountaineer known for leading the first successful ascent of Myanmar’s highest peak, Hkakabo Razi.
-
C.
Kundun
Kundun is a 1997 biographical drama film directed by Martin Scorsese that chronicles the early life of the 14th Dalai Lama and is renowned for its striking cinematography.
-
D.
Tripitaka
Tripitaka is the traditional Buddhist canon, comprising three collections of teachings that form the foundational scriptures of the Buddhist religion.
-
E.
Kongde Ri
Kongde Ri is a prominent Himalayan peak in Nepal known for its striking multi-summited massif overlooking the Everest region.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02c238881908f7a349563c388bf |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03167d7dc819093e91e0d42f3de6f |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.