Triple
T2280739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agamas |
E51273
|
entity |
| Predicate | statusInDigambaraTradition |
P35203
|
FINISHED |
| Object | lost in original form |
—
|
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: lost in original form | Statement: [Agamas, statusInDigambaraTradition, lost in original form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInDigambaraTradition Context triple: [Agamas, statusInDigambaraTradition, lost in original form]
-
A.
hasStatusInTradition
chosen
Indicates that an entity holds a particular recognized status or standing within a specified tradition or traditional framework.
-
B.
statusInIslamicTradition
Indicates the recognized standing, role, or level of esteem an entity holds within Islamic religious, cultural, or scholarly tradition.
-
C.
sacredStatus
Indicates that something holds a revered, holy, or religiously significant status within a particular belief system or tradition.
-
D.
doctrinalStatus
Indicates the formal standing or classification of a belief, teaching, or doctrine within a particular religious or ideological system.
-
E.
yearOfSannyasa
Indicates the specific year in which an individual formally took sannyasa (renounced worldly life and entered the renounced order).
- F. None of above.
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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21ac3d48190abef254e1c3f45e8 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.