Triple
T11219948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saginaw–Midland–Bay City CSA |
E265532
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CSA
CSA is the commonly used abbreviation for the Saginaw–Midland–Bay City Combined Statistical Area in Michigan, United States.
|
E911371
|
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: [Saginaw–Midland–Bay City CSA, abbreviation, CSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSA Context triple: [Saginaw–Midland–Bay City CSA, abbreviation, CSA]
-
A.
CSA
CSA is the Canadian Space Agency, the national organization responsible for Canada’s civil space program and space research activities.
-
B.
CSA
The Confederate States of America was a breakaway federation of eleven Southern U.S. states that fought against the Union during the American Civil War from 1861 to 1865.
-
C.
CSA
CSA is the common abbreviation for the Controlled Substances Act, the primary U.S. federal law regulating the manufacture, distribution, and use of certain drugs and chemicals.
-
D.
CSA
CSA is the ICAO airline designator used to identify Czech Airlines in international aviation operations.
-
E.
CSA
CSA is a U.S. Federal Motor Carrier Safety Administration initiative that monitors and enforces commercial motor vehicle safety performance to reduce crashes, injuries, and fatalities.
- 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: [Saginaw–Midland–Bay City CSA, abbreviation, CSA]
Generated description
CSA is the commonly used abbreviation for the Saginaw–Midland–Bay City Combined Statistical Area in Michigan, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CSA Target entity description: CSA is the commonly used abbreviation for the Saginaw–Midland–Bay City Combined Statistical Area in Michigan, United States.
-
A.
CSA
CSA is the abbreviation for the Connectivity Standards Alliance, an industry consortium that develops and promotes open standards for smart home and Internet of Things devices, including the Matter protocol.
-
B.
CSA
CSA is the common abbreviation for the Controlled Substances Act, the primary U.S. federal law regulating the manufacture, distribution, and use of certain drugs and chemicals.
-
C.
CSA
CSA is the commonly used abbreviation for France’s former audiovisual regulatory authority, the Conseil supérieur de l’audiovisuel.
-
D.
CSA
CSA is a standards development and product certification organization best known for establishing safety and performance standards across various industries in Canada and internationally.
-
E.
CSA
CSA is the ICAO airline designator used to identify Czech Airlines in international aviation operations.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4976f38788190855aed6338d819b7 |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49d37989881909c7e75ddfff06726 |
completed | April 19, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49f41a1f8819087cc15527dc7ff63 |
completed | April 19, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.