Triple
T30750025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kassapa Buddha |
E782930
|
entity |
| Predicate | disciplesType |
P170094
|
FINISHED |
| Object | monastic disciples |
—
|
LITERAL 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: monastic disciples | Statement: [Kassapa Buddha, disciplesType, monastic disciples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplesType Context triple: [Kassapa Buddha, disciplesType, monastic disciples]
-
A.
wasDiscipleOf
Indicates that one entity served as a disciple, student, or follower under the guidance or teaching of another entity.
-
B.
hasDisciplesAndFollowersTradition
Indicates that an entity has an associated tradition concerning its disciples and followers, including how they are understood, organized, or transmitted over time.
-
C.
typeOfSaint
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
-
D.
religiousFigureType
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
-
E.
missionDiscipline
Indicates that an entity maintains adherence to rules, focus, and self-control in carrying out a mission or assigned task.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f7053f88190950d9cbc7f455ed2 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:38 p.m.