Triple
T20355363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ODECA |
E496630
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | ODECA |
—
|
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: ODECA | Statement: [ODECA, acronym, ODECA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ODECA Context triple: [ODECA, acronym, ODECA]
-
A.
ODECA
chosen
ODECA is a regional intergovernmental organization that promotes political, economic, and social cooperation among the Central American states.
-
B.
ADECA
ADECA is a state agency in Alabama responsible for administering economic development, community support, and infrastructure programs.
-
C.
ODAC
ODAC (Old Dominion Athletic Conference) is an NCAA Division III collegiate athletic conference primarily comprising small private colleges in Virginia and surrounding Mid-Atlantic states.
-
D.
OECA
OECA is the U.S. Environmental Protection Agency’s Office of Enforcement and Compliance Assurance, responsible for enforcing environmental laws and ensuring regulated entities comply with federal environmental standards.
-
E.
DeCA
DeCA is a U.S. Department of Defense agency that operates commissary grocery stores worldwide for military personnel, retirees, and their families.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67853f10881908ecde94036804a8a |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.