Triple
T4683989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of South Alabama |
E103873
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
USA
USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
|
E470983
|
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: USA | Statement: [University of South Alabama, abbreviation, USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USA Context triple: [University of South Alabama, abbreviation, USA]
-
A.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
-
B.
US
The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
-
C.
US
The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
-
D.
US
The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
-
E.
US
The US, or United States, is a federal republic in North America composed of 50 states and known as one of the world’s largest economic and military powers.
- 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: USA Triple: [University of South Alabama, abbreviation, USA]
Generated description
USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USA Target entity description: USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
-
A.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
-
B.
US
The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
-
C.
US
The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
-
D.
US
The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
-
E.
US
The US, or United States, is a federal republic in North America composed of 50 states and known as one of the world’s largest economic and military powers.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd638130a08190876c5829c0488758 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d66d4948190a095a92d0e3778ca |
completed | March 21, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69be4df820408190822de7b30a15cb9e |
completed | March 21, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4e95399c81908d152c7f1485c1e8 |
completed | March 21, 2026, 7:53 a.m. |
Created at: March 20, 2026, 1:16 p.m.