Triple
T1456977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kali Puja |
E31420
|
entity |
| Predicate | featuresRitual |
P25858
|
FINISHED |
| Object | Tantric rites |
—
|
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: Tantric rites | Statement: [Kali Puja, featuresRitual, Tantric rites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRitual Context triple: [Kali Puja, featuresRitual, Tantric rites]
-
A.
ritualCharacteristics
chosen
Indicates the defining features, practices, or attributes that characterize a particular ritual.
-
B.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
C.
featuresDeity
Indicates that a work, object, or context prominently includes, depicts, or centers around a particular deity.
-
D.
hasRitualFocus
Indicates that an entity is associated with or directed toward a particular object, practice, or element that serves as the central focus of a ritual.
-
E.
featuresCross
Indicates that one feature or element intersects or passes across another in space or structure.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c598b30c8190b87207adf608b89a |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.