Triple
T14491153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shikhara |
E359364
|
entity |
| Predicate | oftenDecoratedWith |
P23430
|
FINISHED |
| Object | miniature spires |
—
|
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: miniature spires | Statement: [Shikhara, oftenDecoratedWith, miniature spires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenDecoratedWith Context triple: [Shikhara, oftenDecoratedWith, miniature spires]
-
A.
decoratedFor
Indicates that an entity has received a decoration, award, or honor in recognition of a specific action, service, or achievement.
-
B.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
C.
adornedWith
chosen
Indicates that one entity is decorated, embellished, or ornamented by another entity.
-
D.
isHighlyDecorated
Indicates that an entity has received a large number or high level of honors, awards, or distinctions.
-
E.
relatedDecoration
Indicates that one decoration is associated with, complements, or is contextually linked to another decoration.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930d820481908b9813014dd02540 |
completed | April 14, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.