Triple
T19873635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café A Brasileira |
E477581
|
entity |
| Predicate | hasOutdoorArt |
P74888
|
FINISHED |
| Object | bronze statue of Fernando Pessoa |
—
|
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: bronze statue of Fernando Pessoa | Statement: [Café A Brasileira, hasOutdoorArt, bronze statue of Fernando Pessoa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorArt Context triple: [Café A Brasileira, hasOutdoorArt, bronze statue of Fernando Pessoa]
-
A.
isOutdoorSculpture
chosen
Indicates that the entity is a sculpture specifically designed, created, or installed for display in an outdoor environment.
-
B.
isIndoorArtwork
Indicates that an artwork is located or intended to be displayed indoors rather than outdoors.
-
C.
hasOutdoorExhibits
Indicates that a place or institution includes exhibits or displays located in outdoor or open-air areas.
-
D.
hasOutdoorResource
Indicates that an entity is associated with, provides, or includes access to an outdoor resource or facility.
-
E.
hasNearbyPublicArt
Indicates that one entity is located close to another entity that is classified as public art.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.