Triple
T2794965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Peñas neighborhood |
E53013
|
entity |
| Predicate | artPresence |
P43194
|
FINISHED |
| Object | murals and street art |
—
|
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: murals and street art | Statement: [Las Peñas neighborhood, artPresence, murals and street art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artPresence Context triple: [Las Peñas neighborhood, artPresence, murals and street art]
-
A.
exhibition
Indicates that an entity is organizing, hosting, or serving as a public display or presentation of another entity (such as artworks, objects, or information).
-
B.
exhibitionSource
Indicates the origin or provider from which an exhibition or displayed work is sourced or obtained.
-
C.
exhibitedWith
Indicates that two or more entities were presented or displayed together as part of the same exhibition or show.
-
D.
hasExhibitionsAbout
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
-
E.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddd48bcc819083f4ec59d66f0ece |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:58 p.m.