Triple
T16448274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nihang order |
E399487
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Buddha Dal |
E338104
|
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: Buddha Dal | Statement: [Nihang order, hasSubgroup, Buddha Dal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddha Dal Context triple: [Nihang order, hasSubgroup, Buddha Dal]
-
A.
Budha Dal
chosen
Budha Dal is a prominent Sikh warrior order and traditional Nihang organization known for preserving martial practices and religious traditions within Sikhism.
-
B.
Bud’da
Bud’da is an American hip-hop record producer known for his work with prominent rap artists in the late 1990s and early 2000s.
-
C.
Nanddas
Nanddas was a prominent 16th-century devotional poet of the Pushtimarg tradition, celebrated for his Braj-language compositions praising Krishna.
-
D.
Buddhabhadra
Buddhabhadra was a prominent early 5th-century Buddhist monk and translator who played a key role in bringing major Mahayana scriptures, especially the Avataṃsaka Sutra, into the Chinese canon.
-
E.
Dalai Nur
Dalai Nur is a large freshwater lake in Inner Mongolia, China, known for its ecological importance and role in regional water systems.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.