Triple
T364009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Space Agency |
E7919
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CSA
CSA is the Canadian Space Agency, the national organization responsible for Canada’s civil space program and space research activities.
|
E46121
|
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: CSA | Statement: [Canadian Space Agency, abbreviation, CSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSA Context triple: [Canadian Space Agency, abbreviation, CSA]
-
A.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
-
B.
CSA B44
CSA B44 is a Canadian safety standard that sets technical requirements for the design, installation, and maintenance of elevators, escalators, and related lifting devices.
-
C.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
D.
CASA
CASA (Construcciones Aeronáuticas S.A.) was a Spanish aircraft manufacturer that became a key predecessor to Airbus through mergers in the European aerospace industry.
-
E.
CSD
CSD is the renowned Computer Science Department at Carnegie Mellon University, recognized globally for its pioneering research and education in computer science.
- 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: CSA Triple: [Canadian Space Agency, abbreviation, CSA]
Generated description
CSA is the Canadian Space Agency, the national organization responsible for Canada’s civil space program and space research activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CSA Target entity description: CSA is the Canadian Space Agency, the national organization responsible for Canada’s civil space program and space research activities.
-
A.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
-
B.
CSA B44
CSA B44 is a Canadian safety standard that sets technical requirements for the design, installation, and maintenance of elevators, escalators, and related lifting devices.
-
C.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
D.
CASA
CASA (Construcciones Aeronáuticas S.A.) was a Spanish aircraft manufacturer that became a key predecessor to Airbus through mergers in the European aerospace industry.
-
E.
CSD
CSD is the renowned Computer Science Department at Carnegie Mellon University, recognized globally for its pioneering research and education in computer science.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebd1016481909b8ba3b047a47145 |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e86533a481909bab5f0b52114c6a |
completed | March 1, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69a3e99fd210819099e83cd183a4daa7 |
completed | March 1, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ea45c86c8190a6c215430601ad15 |
completed | March 1, 2026, 7:27 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.