Triple
T22048336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjara people |
E544818
|
entity |
| Predicate | ornament |
P8228
|
FINISHED |
| Object | heavy silver jewelry |
—
|
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: heavy silver jewelry | Statement: [Banjara people, ornament, heavy silver jewelry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ornament Context triple: [Banjara people, ornament, heavy silver jewelry]
-
A.
ornamentName
Indicates that an ornament is identified or referred to by a specific name.
-
B.
ornamentColor
Indicates that one entity specifies the color or hue characteristic of another entity used as an ornament or decorative element.
-
C.
ornamentsRepresent
Indicates that certain ornaments symbolically stand for, depict, or convey the meaning of something else.
-
D.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
E.
decorations
chosen
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1283191e48190b4ddc84138243327 |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.