Triple
T37966951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sita Ramachandra |
E947169
|
entity |
| Predicate | devotionalTitleUsedBy |
P189678
|
FINISHED |
| Object | Vaishnavite traditions |
—
|
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: Vaishnavite traditions | Statement: [Sita Ramachandra, devotionalTitleUsedBy, Vaishnavite traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devotionalTitleUsedBy Context triple: [Sita Ramachandra, devotionalTitleUsedBy, Vaishnavite traditions]
-
A.
devotionalTitle
Indicates that one entity serves as the devotional or religiously themed title associated with another entity.
-
B.
devotionalTitleType
Indicates the specific kind or category of title used in a devotional context (such as a form of address or honorific used in religious devotion).
-
C.
devotionalCollection
Indicates that one entity is a curated set or compilation of devotional items, works, or practices associated with another entity.
-
D.
devotionalElement
Indicates a relationship where something serves as or functions as an element used in devotional or religious practice.
-
E.
devotionalSubject
Indicates that one entity is the object or focus of another entity’s religious or spiritual devotion.
- 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.