Triple
T7864715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Departamento de Boyacá |
E182586
|
entity |
| Predicate | hasHandicraft |
P5963
|
FINISHED |
| Object | ceramics from Ráquira |
—
|
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: ceramics from Ráquira | Statement: [Departamento de Boyacá, hasHandicraft, ceramics from Ráquira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHandicraft Context triple: [Departamento de Boyacá, hasHandicraft, ceramics from Ráquira]
-
A.
isHandmade
Indicates that an object has been crafted or produced by hand rather than by automated or industrial processes.
-
B.
hasCraft
Indicates a relationship where an entity possesses, operates, or is associated with a particular vehicle, vessel, or other craft.
-
C.
traditionalCraft
chosen
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
D.
hasCraftsman
Indicates that one entity serves as the craftsman, maker, or artisan responsible for creating, building, or crafting another entity.
-
E.
hasCulturalProduct
Indicates that an entity possesses, produces, or is associated with a cultural artifact, work, or output (such as art, literature, music, or media).
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36c0eaa48190a0df4c37c726546e |
completed | March 31, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:54 p.m.