Triple
T8596087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen F. Austin State University |
E203549
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SFA
SFA is a public university in Nacogdoches, Texas, known for its academic programs, research, and Lumberjacks athletic teams.
|
E746219
|
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: SFA | Statement: [Stephen F. Austin State University, abbreviation, SFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFA Context triple: [Stephen F. Austin State University, abbreviation, SFA]
-
A.
SFA
The SFA is the Scottish Football Association, the main governing body for football in Scotland.
-
B.
SFA
SFA is the IATA airport code for Sfax–Thyna International Airport serving the city of Sfax in Tunisia.
-
C.
SAFC
SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
-
D.
SAFC
SAFC is the commonly used abbreviation for San Antonio FC, a professional soccer club based in San Antonio, Texas, that competes in the USL Championship.
-
E.
FAF
FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
- 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: SFA Triple: [Stephen F. Austin State University, abbreviation, SFA]
Generated description
SFA is a public university in Nacogdoches, Texas, known for its academic programs, research, and Lumberjacks athletic teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFA Target entity description: SFA is a public university in Nacogdoches, Texas, known for its academic programs, research, and Lumberjacks athletic teams.
-
A.
SFA
The SFA is the Scottish Football Association, the main governing body for football in Scotland.
-
B.
SFA
SFA is the IATA airport code for Sfax–Thyna International Airport serving the city of Sfax in Tunisia.
-
C.
SAFC
SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
-
D.
SAFC
SAFC is the commonly used abbreviation for San Antonio FC, a professional soccer club based in San Antonio, Texas, that competes in the USL Championship.
-
E.
FAF
FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8d3fcfc8190bc51a38715ed453e |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69ceac90764c81908c349729bd22a9af |
completed | April 2, 2026, 5:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cead4a4f148190aa39e774528730c9 |
completed | April 2, 2026, 5:54 p.m. |
Created at: March 30, 2026, 6:23 p.m.