Triple
T27108349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norms Restaurant (La Cienega Boulevard, Los Angeles) |
E686642
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | roadside architecture landmark |
C49196
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: roadside architecture landmark Context triple: [Norms Restaurant (La Cienega Boulevard, Los Angeles), instanceOf, roadside architecture landmark]
-
A.
roadside architecture
chosen
Roadside architecture encompasses the buildings, structures, and visual elements intentionally designed along roads and highways to serve travelers, advertise services, and shape the driving experience.
-
B.
urban landmark
An urban landmark is a prominent, easily recognizable feature within a city—such as a building, monument, or natural formation—that serves as a visual reference point and symbol of the area’s identity.
-
C.
man_made_structure
A man_made_structure is any constructed physical entity or facility created by humans to serve functional, aesthetic, or protective purposes in the built environment.
-
D.
civil engineering landmark
A civil engineering landmark is a significant structure or project—such as a bridge, dam, tunnel, or roadway—that exemplifies notable achievement, innovation, or historical importance in the field of civil engineering.
-
E.
group of landmarks
A group of landmarks is a collection of notable physical or cultural reference points that are considered together for purposes such as navigation, analysis, or representation.
- F. None of above.
Provenance (1 batch)
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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
Created at: April 27, 2026, 8:52 a.m.