Triple
T4818961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeland |
E107660
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | neighborhood in the United States |
C27
|
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: neighborhood in the United States Context triple: [Lakeland, instanceOf, neighborhood in the United States]
-
A.
neighborhood
chosen
A neighborhood is a geographically localized community within a larger city or town, characterized by shared residential spaces, social interactions, and common amenities.
-
B.
United States micropolitan area
A United States micropolitan area is a geographic region defined by the U.S. Office of Management and Budget centered around an urban core with a population between 10,000 and 49,999, plus adjacent territories with strong social and economic integration.
-
C.
neighborhood association
A neighborhood association is a community-based organization formed by residents of a specific area to address local issues, coordinate activities, and advocate for the neighborhood’s interests.
-
D.
region of the United States
A region of the United States is a geographically or culturally defined area within the country that shares common characteristics such as climate, history, economy, or social identity.
-
E.
Mexican-American neighborhood
A Mexican-American neighborhood is a residential area where a significant portion of the population is of Mexican descent, shaping the local culture, businesses, language use, and community life.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:24 p.m.