Triple
T15271725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxar Technologies |
E365035
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | geospatial intelligence company |
C30676
|
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: geospatial intelligence company Context triple: [Maxar Technologies, instanceOf, geospatial intelligence company]
-
A.
geospatial company
A geospatial company is an organization that collects, analyzes, and applies location-based data and mapping technologies to provide insights, products, and services related to the Earth's surface and spatial relationships.
-
B.
geospatial intelligence organization
chosen
A geospatial intelligence organization is an entity that collects, analyzes, and disseminates location-based imagery and spatial data to support decision-making in areas such as national security, disaster response, and infrastructure planning.
-
C.
geospatial intelligence facility
A geospatial intelligence facility is a secure, specialized site where experts collect, process, analyze, and disseminate geographic and imagery data to support military, intelligence, and strategic decision-making.
-
D.
intelligence, surveillance, and reconnaissance enterprise
An intelligence, surveillance, and reconnaissance enterprise is an integrated system of people, processes, and technologies that collects, analyzes, and disseminates information to provide timely situational awareness and decision support.
-
E.
location-based services company
A location-based services company provides digital products or platforms that use geographic data and real-time positioning to deliver context-aware information, navigation, and analytics to businesses or consumers.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:14 a.m.