Triple
T8460838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shivini |
E200033
|
entity |
| Predicate | rankInPantheon |
P27705
|
FINISHED |
| Object | one of the chief gods |
—
|
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: one of the chief gods | Statement: [Shivini, rankInPantheon, one of the chief gods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInPantheon Context triple: [Shivini, rankInPantheon, one of the chief gods]
-
A.
positionInPantheon
chosen
Indicates the rank, role, or hierarchical standing that a deity or figure holds within a specific pantheon or religious hierarchy.
-
B.
partOfPantheon
Indicates that an entity is a member or constituent deity of a particular pantheon or religious tradition.
-
C.
epithetOfPantheon
Indicates that one term is used as an epithet or honorific title specifically for a deity or figure within a particular pantheon.
-
D.
hasPantheonName
Indicates that an entity is associated with a specific pantheon and is identified by the given pantheon name.
-
E.
namedAfterDeity
Indicates that one entity has been given a name derived from or in honor of a deity.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49fca788190a8728ff74f4d26f5 |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:10 p.m.