Triple
T4936529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varaha |
E110823
|
entity |
| Predicate | textualTheme |
P25955
|
FINISHED |
| Object | protection of devotees and the world |
—
|
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: protection of devotees and the world | Statement: [Varaha, textualTheme, protection of devotees and the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualTheme Context triple: [Varaha, textualTheme, protection of devotees and the world]
-
A.
themeFor
chosen
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
C.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
D.
editorialTheme
Indicates a relationship where an editorial work is associated with a specific overarching theme or subject focus that guides its content and presentation.
-
E.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7085b1dc819099408f6503f0210f |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.