Triple
T12028961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OIRA |
E286352
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | OIRA |
E286352
|
NE FINISHED |
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: OIRA | Statement: [OIRA, abbreviation, OIRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OIRA Context triple: [OIRA, abbreviation, OIRA]
-
A.
OIRA
chosen
OIRA is a U.S. federal office within the Office of Management and Budget that reviews significant regulations, oversees information policy, and coordinates federal rulemaking.
-
B.
OIR
OIR is the regulatory agency responsible for overseeing and enforcing insurance laws and market conduct in the state of Florida.
-
C.
OIA
OIA is a common acronym for an Office of International Affairs, typically a governmental or institutional body that manages international relations, partnerships, and global programs.
-
D.
IRIA
IRIA (Institut de Recherche en Informatique et en Automatique) was the original French national research institute for computer science and automation, later becoming INRIA, and played a key role in early networking and informatics research.
-
E.
OIC
OIC is an intergovernmental organization representing and coordinating the collective interests of Muslim-majority countries worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f13ae8819097a5740f7c51df82 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b8d37ec81908d4a1668e932ca5b |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:47 p.m.