Triple
T13925983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odias |
E334861
|
entity |
| Predicate | traditionalHandicraft |
P5963
|
FINISHED |
| Object | Silver filigree of Cuttack |
—
|
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: Silver filigree of Cuttack | Statement: [Odias, traditionalHandicraft, Silver filigree of Cuttack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalHandicraft Context triple: [Odias, traditionalHandicraft, Silver filigree of Cuttack]
-
A.
traditionalCraft
chosen
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
B.
traditionalArtForm
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
-
C.
isHandmade
Indicates that an object has been crafted or produced by hand rather than by automated or industrial processes.
-
D.
traditionalMaterial
Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
-
E.
craftSpecialty
Indicates that an entity has a particular area of specialized skill or focus within a craft or artisanal practice.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa7e9248190b0523415b9224e2f |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.