Triple
T2013816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USSF-67 |
E43747
|
entity |
| Predicate | primaryPayload |
P21685
|
FINISHED |
| Object |
CBAS-2
CBAS-2 is a classified U.S. Space Force military communications satellite designed to provide secure, high-capacity relay capabilities for national defense missions.
|
E226761
|
NE FINISHED |
How this triple was built (4 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CBAS-2 | Statement: [USSF-67, primaryPayload, CBAS-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBAS-2 Context triple: [USSF-67, primaryPayload, CBAS-2]
-
A.
CYSB
CYSB is the ICAO airport code for Greater Sudbury Airport, a regional airport serving the city of Greater Sudbury in Ontario, Canada.
-
B.
Cbus
Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
-
C.
CA-BC
CA-BC is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of British Columbia.
-
D.
CAB
CAB is the abbreviated name for the Community Affairs Bureau, a division typically responsible for fostering relationships between law enforcement agencies and the communities they serve.
-
E.
C-2
C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CBAS-2 Triple: [USSF-67, primaryPayload, CBAS-2]
Generated description
CBAS-2 is a classified U.S. Space Force military communications satellite designed to provide secure, high-capacity relay capabilities for national defense missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CBAS-2 Target entity description: CBAS-2 is a classified U.S. Space Force military communications satellite designed to provide secure, high-capacity relay capabilities for national defense missions.
-
A.
CYSB
CYSB is the ICAO airport code for Greater Sudbury Airport, a regional airport serving the city of Greater Sudbury in Ontario, Canada.
-
B.
Cbus
Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
-
C.
CA-BC
CA-BC is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of British Columbia.
-
D.
CAB
CAB is the abbreviated name for the Community Affairs Bureau, a division typically responsible for fostering relationships between law enforcement agencies and the communities they serve.
-
E.
C-2
C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
- F. None of above. chosen
Provenance (5 batches)
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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b42d508190bf2b63132bb2ad77 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aea65d881908eb751349a2c23f9 |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0bac5c448190997e58297355f3d6 |
completed | March 8, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c31f00c8190bb29098f95ee4cb9 |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:37 p.m.