Triple
T19250365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devi Jagadambi Temple |
E481372
|
entity |
| Predicate | hasSculptureTheme |
P60618
|
FINISHED |
| Object | Hindu deities |
—
|
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: Hindu deities | Statement: [Devi Jagadambi Temple, hasSculptureTheme, Hindu deities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSculptureTheme Context triple: [Devi Jagadambi Temple, hasSculptureTheme, Hindu deities]
-
A.
hasSculptureType
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
B.
hasSculpturalFigures
Indicates that something includes or features three-dimensional sculpted figures as part of its form or decoration.
-
C.
hasMuseumTheme
chosen
Indicates that something (such as a museum, exhibit, or collection) is characterized by or dedicated to a particular thematic focus.
-
D.
hasSculpturalProgram
Indicates that an entity features or is associated with a specific sculptural decoration scheme or program.
-
E.
hasSculptureGardenArea
Indicates that something includes or is associated with an area designated as a sculpture garden.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3001308190913e24343769be8d |
completed | April 20, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.