Triple
T13125070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas–Fort Worth water supply system |
E311824
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | public utility infrastructure |
C10698
|
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: public utility infrastructure Context triple: [Dallas–Fort Worth water supply system, instanceOf, public utility infrastructure]
-
A.
infrastructure
Infrastructure is the foundational physical and organizational systems—such as transportation, utilities, communication networks, and public facilities—that enable a society or organization to function and grow.
-
B.
internet infrastructure component
An internet infrastructure component is a foundational hardware or software element—such as routers, switches, servers, cables, or protocols—that enables the transmission, routing, and reliable delivery of data across interconnected networks.
-
C.
infrastructure facility
chosen
An infrastructure facility is a physical installation or complex that provides essential services or support functions—such as transportation, utilities, communication, or public safety—necessary for the operation and development of a community or region.
-
D.
telecommunications infrastructure component
A telecommunications infrastructure component is a physical or virtual element—such as cables, antennas, switches, or routers—that enables the transmission, routing, and management of voice, data, and multimedia communications across networks.
-
E.
R infrastructure component
An R infrastructure component is a foundational element—such as runtime, package system, or tooling—that supports the execution, management, and scalability of R-based data analysis and applications.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
Created at: April 9, 2026, 9:07 p.m.