Triple
T4810227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independent Office of Evaluation of IFAD |
E107050
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | IOE |
E472331
|
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: IOE | Statement: [Independent Office of Evaluation of IFAD, abbreviation, IOE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IOE Context triple: [Independent Office of Evaluation of IFAD, abbreviation, IOE]
-
A.
IOE
chosen
IOE is the Independent Office of Evaluation of the International Fund for Agricultural Development, responsible for assessing the effectiveness and impact of IFAD’s strategies and operations.
-
B.
OEI
OEI is the Office of Environmental Information within the U.S. Environmental Protection Agency, responsible for managing environmental data, information policy, and related technology systems.
-
C.
OEI
OEI is the Spanish-Portuguese acronym for the Organization of Ibero-American States, an international body that promotes cooperation in education, science, and culture among Ibero-American countries.
-
D.
IIE
IIE is a research institute focused on economic studies and analysis.
-
E.
OIT
OIT is a public polytechnic university in Oregon known for its hands-on, technology-focused degree programs and strong industry partnerships.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7b879081908e0c92a67422906e |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ca8c29081909701bfd4ea60586d |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:23 p.m.