Triple
T36696589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadamba style |
E906107
|
entity |
| Predicate | hasShikharaType |
P167106
|
FINISHED |
| Object | stepped pyramidal tower |
—
|
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: stepped pyramidal tower | Statement: [Kadamba style, hasShikharaType, stepped pyramidal tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShikharaType Context triple: [Kadamba style, hasShikharaType, stepped pyramidal tower]
-
A.
hasShikharaStyle
chosen
Indicates that a temple or structure possesses or is built in a specific shikhara (tower or spire) architectural style.
-
B.
hasFlagOnShikhara
Indicates that a flag is present or mounted on the shikhara (the main tower or spire) of a structure.
-
C.
hasStupa
Indicates that one entity possesses, contains, or features a stupa as part of its structure, property, or composition.
-
D.
hasRatha
Indicates that one entity possesses, includes, or is associated with a chariot (ratha) as part of its attributes or composition.
-
E.
hasChhatri
Indicates that one entity possesses or features a chhatri (a dome-shaped pavilion or canopy structure) in relation to another entity or location.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.