Triple
T19626327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Largo das Portas do Sol |
E471144
|
entity |
| Predicate | hasNearbyPublicArtwork |
P40184
|
FINISHED |
| Object | statue of Saint Vincent |
—
|
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: statue of Saint Vincent | Statement: [Largo das Portas do Sol, hasNearbyPublicArtwork, statue of Saint Vincent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyPublicArtwork Context triple: [Largo das Portas do Sol, hasNearbyPublicArtwork, statue of Saint Vincent]
-
A.
hasNearbyPublicArt
chosen
Indicates that one entity is located close to another entity that is classified as public art.
-
B.
hasPublicArtwork
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
C.
hasNearbyExhibits
Indicates that one entity has other exhibits located in close physical proximity to it.
-
D.
isPublicArtwork
Indicates that an artwork is installed or displayed in a publicly accessible space, intended for public viewing.
-
E.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e9ff208190afb33c910ed2147b |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.