Triple
T26224111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suna Besha |
E655841
|
entity |
| Predicate | typeOfAdornment |
P86416
|
FINISHED |
| Object | royal attire of the 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: royal attire of the deities | Statement: [Suna Besha, typeOfAdornment, royal attire of the deities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAdornment Context triple: [Suna Besha, typeOfAdornment, royal attire of the deities]
-
A.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
B.
adornedWith
Indicates that one entity is decorated, embellished, or ornamented by another entity.
-
C.
valorDecoration
Indicates that an entity has been awarded a decoration or honor specifically in recognition of acts of valor or bravery.
-
D.
typeOfEmblem
Indicates that one emblem is a specific kind or category of emblem in relation to another.
-
E.
ornamentationStyle
chosen
Indicates the decorative design or stylistic approach applied as ornamentation to an 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 26, 2026, 8:57 p.m.