Triple
T14669144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narasimha shrine (Parthasarathy Temple, Triplicane) |
E344460
|
entity |
| Predicate | honorsAspect |
P60804
|
FINISHED |
| Object | fierce aspect of Vishnu |
—
|
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: fierce aspect of Vishnu | Statement: [Narasimha shrine (Parthasarathy Temple, Triplicane), honorsAspect, fierce aspect of Vishnu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsAspect Context triple: [Narasimha shrine (Parthasarathy Temple, Triplicane), honorsAspect, fierce aspect of Vishnu]
-
A.
honorsAspectOf
chosen
Indicates that one entity shows respect, recognition, or reverence specifically toward a particular aspect, quality, or facet of another entity.
-
B.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
C.
onAspect
Indicates that one entity is positioned on a particular side, surface, or facet of another entity.
-
D.
honorsRole
Indicates that one entity formally recognizes and respects the position, title, or role held by another entity.
-
E.
awardAspect
Indicates that one entity specifies a particular characteristic, category, or facet of an award associated with another entity.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54dda1c8190bf16d17e26a2bba6 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.