Triple
T20842333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Student Finance England |
E513130
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
SFE
SFE is the UK government service that administers loans and grants to students in England for higher education.
|
E1454174
|
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: SFE | Statement: [Student Finance England, hasAbbreviation, SFE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFE Context triple: [Student Finance England, hasAbbreviation, SFE]
-
A.
SFE
SFE is the abbreviation for the Sydney Futures Exchange, a former Australian financial futures and derivatives exchange that played a key role in the country’s capital markets.
-
B.
SFR
SFR is the ICAO airline designator assigned to the South African low-cost carrier FlySafair.
-
C.
SFR
SFR is a major French telecommunications company providing mobile, internet, and television services.
-
D.
SFS
SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
-
E.
SFS
SFS is a common abbreviation for Allianz Stadium, a major sports and entertainment venue in Sydney, Australia.
- 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: SFE Triple: [Student Finance England, hasAbbreviation, SFE]
Generated description
SFE is the UK government service that administers loans and grants to students in England for higher education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFE Target entity description: SFE is the UK government service that administers loans and grants to students in England for higher education.
-
A.
SFE
SFE is the abbreviation for the Sydney Futures Exchange, a former Australian financial futures and derivatives exchange that played a key role in the country’s capital markets.
-
B.
SFR
SFR is the ICAO airline designator assigned to the South African low-cost carrier FlySafair.
-
C.
SFR
SFR is a major French telecommunications company providing mobile, internet, and television services.
-
D.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
E.
SFS
SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34be7a081909c9e98e7f7af7fde |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090aff425481908a43921b18319068 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090c0eec0081908fe0f28e69d6d5d7 |
completed | May 17, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cc818b4819089ed588d3e460aa2 |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:43 p.m.