Triple
T3453772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garba dance |
E72852
|
entity |
| Predicate | typicalFemaleCostume |
P5541
|
FINISHED |
| Object | chaniya choli |
—
|
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: chaniya choli | Statement: [Garba dance, typicalFemaleCostume, chaniya choli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFemaleCostume Context triple: [Garba dance, typicalFemaleCostume, chaniya choli]
-
A.
costumeType
chosen
Indicates the specific kind or category of costume associated with an entity.
-
B.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
C.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
D.
designedCostumesFor
Indicates that one entity created or planned the costumes used by another entity, typically for a performance, production, or event.
-
E.
numberOfCostumes
Indicates the total count of costumes associated with or used by a given 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa457fc8190824ca00254e962f9 |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.