Triple
T15589230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Secretariat for International Financial Matters |
E374699
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SIF
SIF is the Swiss federal body responsible for shaping and coordinating Switzerland’s international financial, tax, and monetary policy.
|
E1165160
|
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: SIF | Statement: [State Secretariat for International Financial Matters, shortName, SIF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIF Context triple: [State Secretariat for International Financial Matters, shortName, SIF]
-
A.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
B.
SIF
SIF is a Canadian federal funding program that supports large-scale, transformative business and innovation projects to drive economic growth and competitiveness.
-
C.
SFI
SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
-
D.
SFI
SFI is the National Rail station code for Shawfair railway station in Midlothian, Scotland.
-
E.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
- 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: SIF Triple: [State Secretariat for International Financial Matters, shortName, SIF]
Generated description
SIF is the Swiss federal body responsible for shaping and coordinating Switzerland’s international financial, tax, and monetary policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SIF Target entity description: SIF is the Swiss federal body responsible for shaping and coordinating Switzerland’s international financial, tax, and monetary policy.
-
A.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
B.
SIF
SIF is a Canadian federal funding program that supports large-scale, transformative business and innovation projects to drive economic growth and competitiveness.
-
C.
SFI
SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
-
D.
SFI
SFI is the National Rail station code for Shawfair railway station in Midlothian, Scotland.
-
E.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c53617c8190b4367eee351dc025 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d5de6ec8190ab82ac78bb70a432 |
completed | May 9, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4dd868388190a159618c1fdcf15c |
completed | May 9, 2026, 3:08 p.m. |
Created at: April 10, 2026, 4:11 a.m.