Triple
T17083521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau places in Texas |
E414534
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical geographic entity collection |
C17269
|
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: statistical geographic entity collection Context triple: [United States Census Bureau places in Texas, instanceOf, statistical geographic entity collection]
-
A.
statistical geographic areas
chosen
Statistical geographic areas are spatially defined regions created for the collection, analysis, and presentation of data about populations, economies, or environments.
-
B.
historical geographic entity
A historical geographic entity is a spatially bounded area whose location, extent, or political status has changed or ceased to exist over time, but which is recognized for its past geographic or administrative significance.
-
C.
collection of states
A collection of states is an abstract grouping of distinct conditions or configurations that a system, object, or process can occupy, treated as a unified set for analysis or manipulation.
-
D.
collection of human settlements
A collection of human settlements is a grouping of distinct inhabited places—such as villages, towns, or cities—considered together based on shared geographic, administrative, or functional characteristics.
-
E.
NUTS 4 statistical region
A NUTS 4 statistical region is a subnational territorial unit used in some European statistical systems, typically below NUTS 3 level, for more detailed regional data collection and analysis.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:35 a.m.