Triple
T27235498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesar Chavez Street |
E682260
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | road in Austin, Texas |
C52641
|
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: road in Austin, Texas Context triple: [Cesar Chavez Street, instanceOf, road in Austin, Texas]
-
A.
street in Houston
A street in Houston is a public roadway within the city’s grid that facilitates vehicular and pedestrian movement while connecting residential, commercial, and industrial areas across Houston’s diverse neighborhoods.
-
B.
road in Portland, Oregon
A road in Portland, Oregon is a public vehicular and pedestrian thoroughfare within the city’s transportation network, defined by its physical layout, traffic regulations, and integration with local infrastructure and land use.
-
C.
Farm to Market Road
A Farm to Market Road is a rural roadway designed to connect agricultural areas and farms with nearby towns, markets, and major transportation routes to facilitate the movement of goods and people.
-
D.
road in Mexico City
A road in Mexico City is a public vehicular and pedestrian thoroughfare within the urban area of Mexico City, characterized by dense traffic, mixed land use, and integration with the city’s complex transportation network.
-
E.
road in Pittsburgh
A road in Pittsburgh is a public vehicular thoroughfare within the city’s hilly, river-divided landscape, often featuring bridges, tunnels, and irregular intersections shaped by the region’s topography and historic development.
- F. None of above. chosen
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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 27, 2026, 9:47 a.m.