Triple
T21030923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss National Science Foundation |
E518059
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FNS-SNF
FNS-SNF is the commonly used abbreviation for the Swiss National Science Foundation, Switzerland’s main public agency for funding scientific research.
|
E1464339
|
NE FINISHED |
How this triple was built (4 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-SNF | Statement: [Swiss National Science Foundation, shortName, FNS-SNF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNS-SNF Context triple: [Swiss National Science Foundation, shortName, FNS-SNF]
-
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.
SNF
SNF is the National Rail station code for Shenfield railway station in Essex, England.
-
C.
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.
-
D.
FNSPE
FNSPE is a specialized faculty of the Czech Technical University in Prague focused on nuclear sciences, physical engineering, and related technical disciplines.
-
E.
SFN
SFN is the IATA airport code for Sauce Viejo Airport, which serves the city of Santa Fe in Argentina.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FNS-SNF Triple: [Swiss National Science Foundation, shortName, FNS-SNF]
Generated description
FNS-SNF is the commonly used abbreviation for the Swiss National Science Foundation, Switzerland’s main public agency for funding scientific research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FNS-SNF Target entity description: FNS-SNF is the commonly used abbreviation for the Swiss National Science Foundation, Switzerland’s main public agency for funding scientific research.
-
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.
SNF
SNF is the National Rail station code for Shenfield railway station in Essex, England.
-
C.
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.
-
D.
FNSPE
FNSPE is a specialized faculty of the Czech Technical University in Prague focused on nuclear sciences, physical engineering, and related technical disciplines.
-
E.
SFN
SFN is the IATA airport code for Sauce Viejo Airport, which serves the city of Santa Fe in Argentina.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a094745f4bc8190ae2e9412d1d842bc |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a09490822ac81909966eb2013ddb837 |
completed | May 17, 2026, 4:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094a078eb08190857d156dcadf35fc |
completed | May 17, 2026, 4:54 a.m. |
Created at: April 16, 2026, 1:55 p.m.