Triple
T20173489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSU |
E492027
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | GSU |
—
|
NE NERFINISHED |
How this triple was built (2 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: GSU | Statement: [GSU, abbreviation, GSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSU Context triple: [GSU, abbreviation, GSU]
-
A.
GSU
GSU is the commonly used abbreviation for Grambling State University's football program, the Grambling State Tigers.
-
B.
GSU
GSU is the commonly used abbreviation for the Graduate Students' Union, an organization representing the interests and welfare of graduate students at a university.
-
C.
Georgia State University
Georgia State University is a large public research university known for its diverse student body and urban campus in downtown Atlanta, Georgia.
-
D.
UGA
UGA is the three-letter ISO 3166-1 alpha-3 country code assigned to Uganda.
-
E.
UGA
UGA is the commonly used abbreviation for the Ukrainian Galician Army, a military force formed by Ukrainians in Eastern Galicia during the turbulent period following World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:36 p.m.