Triple
T16831888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Catarina Palopó |
E409169
|
entity |
| Predicate | paintingProject |
P125021
|
FINISHED |
| Object | facade-painting initiative inspired by local textiles |
—
|
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: facade-painting initiative inspired by local textiles | Statement: [Santa Catarina Palopó, paintingProject, facade-painting initiative inspired by local textiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintingProject Context triple: [Santa Catarina Palopó, paintingProject, facade-painting initiative inspired by local textiles]
-
A.
paintingPractice
Indicates engaging in the activity of practicing or improving skills in painting.
-
B.
BlackPaintingsCreated
Indicates that an entity created artworks classified as Black Paintings.
-
C.
paintingSeries
Indicates that one painting belongs to, or is part of, a series or set of related paintings.
-
D.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
E.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
- F. None of above. chosen
Provenance (4 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b317af8c8190a09cb6d60d28e342 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.