Triple
T17939668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayyavazhi |
E448552
|
entity |
| Predicate | viewOnAyyaVaikundar |
P129804
|
FINISHED |
| Object | incarnation of the supreme God |
—
|
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: incarnation of the supreme God | Statement: [Ayyavazhi, viewOnAyyaVaikundar, incarnation of the supreme God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnAyyaVaikundar Context triple: [Ayyavazhi, viewOnAyyaVaikundar, incarnation of the supreme God]
-
A.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
B.
viewOnRama
Indicates that one entity has a visual perspective or view directed toward the entity named Rama.
-
C.
viewOnVedas
Indicates the stance, opinion, or interpretive perspective that one entity holds regarding the Vedas.
-
D.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
E.
viewOnHanuman
Indicates a perspective, opinion, or interpretive stance that someone or something holds regarding Hanuman.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9533688190bff773c183ed8505 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.