Triple
T13105523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFDA.gov |
E310832
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CFDA |
E310832
|
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: CFDA | Statement: [CFDA.gov, hasAbbreviation, CFDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFDA Context triple: [CFDA.gov, hasAbbreviation, CFDA]
-
A.
CFDA
CFDA is the Council of Fashion Designers of America, a nonprofit trade association that represents and supports leading fashion and accessory designers in the United States.
-
B.
CFDA.gov
chosen
CFDA.gov was the official U.S. government website that cataloged and provided detailed information on all federal financial assistance programs.
-
C.
FDFA
FDFA is the Swiss government ministry responsible for the country’s foreign policy, diplomatic relations, and international cooperation.
-
D.
Food and Drug Administration
The Food and Drug Administration is a U.S. federal agency responsible for protecting public health by regulating food, drugs, medical devices, and other consumer products.
-
E.
FDA CFSAN
FDA CFSAN is the U.S. Food and Drug Administration’s center responsible for regulating the safety, labeling, and nutritional quality of foods, dietary supplements, and cosmetics.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadad81c8190881e6577e1c2a207 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:05 p.m.