Triple
T4646751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nauvari saree |
E102189
|
entity |
| Predicate | typicalFabric |
P58896
|
FINISHED |
| Object | cotton |
—
|
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: cotton | Statement: [Nauvari saree, typicalFabric, cotton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFabric Context triple: [Nauvari saree, typicalFabric, cotton]
-
A.
typicalFinish
Indicates that an action, process, or event commonly or characteristically ends with a particular outcome or state.
-
B.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
fiberCharacteristic
Indicates a relationship where a specific characteristic or property is attributed to a fiber or fibrous material.
-
E.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
- F. None of above. chosen
Provenance (4 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd663092cc81909308f89ee1a417e4 |
completed | March 20, 2026, 3:22 p.m. |
Created at: March 20, 2026, 1:14 p.m.