Triple
T28330645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belleville neighborhood (part) |
E717528
|
entity |
| Predicate | hasStreetArtLocation |
P165144
|
FINISHED |
| Object | Rue Denoyez |
—
|
NE NERFINISHED |
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: Rue Denoyez | Statement: [Belleville neighborhood (part), hasStreetArtLocation, Rue Denoyez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetArtLocation Context triple: [Belleville neighborhood (part), hasStreetArtLocation, Rue Denoyez]
-
A.
streetArtHotspot
chosen
Indicates a location is known for having a notable concentration of street art or graffiti activity.
-
B.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
C.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
D.
hasArtDistrict
Indicates that a place or region contains or is associated with a designated art district area.
-
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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 28, 2026, 12:32 a.m.