Triple
T19359666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 108 Divya Desams |
E484240
|
entity |
| Predicate | goalOfPilgrimage |
P135233
|
FINISHED |
| Object | attainment of moksha |
—
|
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: attainment of moksha | Statement: [108 Divya Desams, goalOfPilgrimage, attainment of moksha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfPilgrimage Context triple: [108 Divya Desams, goalOfPilgrimage, attainment of moksha]
-
A.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
B.
pilgrimageStartingPoint
Indicates the location from which a pilgrimage journey is initiated or begins.
-
C.
pilgrimagePractice
Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
-
D.
pilgrimageScale
Indicates the extent or magnitude of a pilgrimage-related activity, such as its size, intensity, or level of significance.
-
E.
pilgrimageRouteTo
Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190b343c81909734ba776fd196dc |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd13a8cc81909cd02668564c9f29 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4dde92ff481909006b3f9e8d639d4 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:34 p.m.