Triple
T19812402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears of Shiva |
E475977
|
entity |
| Predicate | linkedRitualUse |
P124620
|
FINISHED |
| Object | japa (mantra recitation) |
—
|
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: japa (mantra recitation) | Statement: [Tears of Shiva, linkedRitualUse, japa (mantra recitation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedRitualUse Context triple: [Tears of Shiva, linkedRitualUse, japa (mantra recitation)]
-
A.
relatedRitual
Indicates that one entity is associated with, connected to, or involved in the performance or context of a particular ritual.
-
B.
languageUsedInRituals
Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
-
C.
appearsInRitual
Indicates that an entity is included, featured, or participates as a component or element within a specific ritual.
-
D.
usesRitually
chosen
Indicates that an entity employs or performs something as part of a ritual or ceremonial practice.
-
E.
mentionsRitual
Indicates that one entity refers to, discusses, or otherwise makes mention of a ritual associated with another entity.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542c9c5c81908772e88caa067e63 |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.