Triple
T26977554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagannath-centric Vaishnavism |
E679498
|
entity |
| Predicate | viewOnJagannath |
P161745
|
FINISHED |
| Object | universal lord beyond sectarian boundaries |
—
|
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: universal lord beyond sectarian boundaries | Statement: [Jagannath-centric Vaishnavism, viewOnJagannath, universal lord beyond sectarian boundaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnJagannath Context triple: [Jagannath-centric Vaishnavism, viewOnJagannath, universal lord beyond sectarian boundaries]
-
A.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
B.
viewOfAyodhya
Indicates a visual depiction, perspective, or representation showing Ayodhya as the subject or scene.
-
C.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
D.
viewOnRama
Indicates that one entity has a visual perspective or view directed toward the entity named Rama.
-
E.
regardsJagannathAs
chosen
Indicates that one entity holds a particular view, attitude, or status toward Jagannath (e.g., seeing Jagannath as a deity, authority, or significant figure).
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 6:43 a.m.