Triple
T2184312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Vocational Rehabilitation Agency |
E49114
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
GVRA
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
|
E243334
|
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: GVRA | Statement: [Georgia Vocational Rehabilitation Agency, abbreviation, GVRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GVRA Context triple: [Georgia Vocational Rehabilitation Agency, abbreviation, GVRA]
-
A.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
B.
VRA
VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
-
C.
VG
VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
-
D.
GVAP
GVAP is a comprehensive global framework developed to improve access to vaccines, strengthen immunization systems, and reduce vaccine-preventable diseases worldwide.
-
E.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
- 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: GVRA Triple: [Georgia Vocational Rehabilitation Agency, abbreviation, GVRA]
Generated description
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GVRA Target entity description: GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
-
A.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
B.
VRA
VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
-
C.
VG
VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
-
D.
GVAP
GVAP is a comprehensive global framework developed to improve access to vaccines, strengthen immunization systems, and reduce vaccine-preventable diseases worldwide.
-
E.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0e92248190a9449fce4044438a |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da963308190bcd0918b8317b3f6 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e30a69c8190a3f77e784401f671 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea7909c8190a93d87a5d07b84d4 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.