Triple
T38661097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upatiṣya |
E940333
|
entity |
| Predicate | attainedArahantshipUnder |
P191490
|
FINISHED |
| Object | Gautama Buddha |
—
|
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: Gautama Buddha | Statement: [Upatiṣya, attainedArahantshipUnder, Gautama Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attainedArahantshipUnder Context triple: [Upatiṣya, attainedArahantshipUnder, Gautama Buddha]
-
A.
attainedMokshaFrom
Indicates that an entity achieved spiritual liberation (moksha) as a result of or through the agency, guidance, or context of another entity.
-
B.
attainedKevalaJnana
Indicates that an entity has achieved Kevala Jnana, the state of absolute or perfect knowledge.
-
C.
tookSannyasaFrom
Indicates that one entity formally renounced worldly life and accepted the monastic or ascetic order under the guidance or authority of another entity.
-
D.
hasSamadhi
Indicates that an entity possesses or has attained the state of samadhi (deep meditative absorption or spiritual concentration) in relation to another context or state.
-
E.
hasBodhisattva
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
- F. None of above. chosen
Provenance (4 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.