Triple
T37207192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maheshwari sarees |
E922203
|
entity |
| Predicate | hasWeaveType |
P65164
|
FINISHED |
| Object | silk warp cotton weft |
—
|
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: silk warp cotton weft | Statement: [Maheshwari sarees, hasWeaveType, silk warp cotton weft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeaveType Context triple: [Maheshwari sarees, hasWeaveType, silk warp cotton weft]
-
A.
hasWeave
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular weave or woven pattern associated with another entity.
-
B.
hasTwistType
Indicates that one entity is associated with a specific kind or category of twist applied to it.
-
C.
hasCraftType
Indicates that an entity is associated with, or classified by, a particular type or category of craft.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasKnotType
Indicates that one entity is characterized by, or associated with, a specific type or classification of knot.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:15 p.m.