Triple
T20202818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rua Nova do Carvalho |
E493266
|
entity |
| Predicate | streetSurfaceColor |
P107987
|
FINISHED |
| Object | pink |
—
|
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: pink | Statement: [Rua Nova do Carvalho, streetSurfaceColor, pink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetSurfaceColor Context triple: [Rua Nova do Carvalho, streetSurfaceColor, pink]
-
A.
roadUniformColor
Indicates that the entire road surface shares a single, consistent color throughout.
-
B.
roadUniformColorPrimary
chosen
Indicates that the primary uniform color associated with a road (e.g., for mapping or visualization) is a specified color.
-
C.
hasFloorColor
Indicates that an entity possesses a floor whose surface is characterized by a specific color.
-
D.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
E.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8ec73c8190b630599c5ceb22ac |
completed | April 20, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.