Triple
T26188050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | duitara |
E654882
|
entity |
| Predicate | traditionalMaker |
P82433
|
FINISHED |
| Object | local artisans |
—
|
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: local artisans | Statement: [duitara, traditionalMaker, local artisans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalMaker Context triple: [duitara, traditionalMaker, local artisans]
-
A.
traditionalCraft
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
B.
traditionalProducer
chosen
Indicates that an entity produces something using traditional, customary, or long-established methods or practices.
-
C.
traditionalMaterial
Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
-
D.
traditionalTrade
Indicates a relationship where goods or services are exchanged using long-established, customary methods rather than modern or digital trading systems.
-
E.
traditionalCraftCenter
Indicates that a place functions as a hub where traditional crafts are practiced, taught, preserved, or showcased.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 26, 2026, 8:43 p.m.