Triple
T21030920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss National Science Foundation |
E518059
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | FNS |
—
|
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: FNS | Statement: [Swiss National Science Foundation, shortName, FNS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNS Context triple: [Swiss National Science Foundation, shortName, FNS]
-
A.
FNS
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
-
B.
FNSNF
chosen
FNSNF is the abbreviated name for the Swiss National Science Foundation, Switzerland’s main public agency for funding scientific research.
-
C.
FNS Raahe
FNS Raahe is a Finnish Navy Rauma-class fast attack craft designed for coastal defense and patrol operations in the Baltic Sea.
-
D.
FNSP
FNSP is the French acronym for the Fondation nationale des sciences politiques, a key institution that oversees and supports the prestigious Sciences Po network of political science and social science schools in France.
-
E.
FNSPE
FNSPE is a specialized faculty of the Czech Technical University in Prague focused on nuclear sciences, physical engineering, and related technical disciplines.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc81adf08190ba3312d0867a5388 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:55 p.m.