Triple
T22120151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paithani sarees |
E546642
|
entity |
| Predicate | patternPlacement |
P120669
|
FINISHED |
| Object | motifs concentrated on pallu |
—
|
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: motifs concentrated on pallu | Statement: [Paithani sarees, patternPlacement, motifs concentrated on pallu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patternPlacement Context triple: [Paithani sarees, patternPlacement, motifs concentrated on pallu]
-
A.
hasPatternPlacement
chosen
Indicates the spatial or positional arrangement of a pattern relative to or on another entity.
-
B.
pattern
Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
-
C.
colorPlacement
Indicates the spatial or contextual position where a particular color is applied or appears in relation to an entity.
-
D.
maskPattern
Indicates a relationship where one entity serves as a masking template or pattern that determines which parts or aspects of another entity are revealed, hidden, or transformed.
-
E.
patternShownTo
Indicates that a particular pattern is presented or displayed to an entity (such as a user or system) for viewing or use.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12951fcd48190841319cd879c15cb |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.