Triple
T16582777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, Engineering and Built Environment |
E402876
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SEBE
SEBE is the commonly used acronym for the Faculty of Science, Engineering and Built Environment at Deakin University.
|
E1220933
|
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: SEBE | Statement: [Faculty of Science, Engineering and Built Environment, abbreviation, SEBE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEBE Context triple: [Faculty of Science, Engineering and Built Environment, abbreviation, SEBE]
-
A.
sebaste
Sebaste was a prestigious Byzantine court title, often granted to high-ranking women of the imperial family to signify their elevated status and influence.
-
B.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
C.
SEB
SEB is a major Swedish financial group and bank, historically linked to the influential Wallenberg family and known for its corporate and investment banking services in Northern Europe.
-
D.
SEB
SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
-
E.
SEREB
SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
- 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: SEBE Triple: [Faculty of Science, Engineering and Built Environment, abbreviation, SEBE]
Generated description
SEBE is the commonly used acronym for the Faculty of Science, Engineering and Built Environment at Deakin University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEBE Target entity description: SEBE is the commonly used acronym for the Faculty of Science, Engineering and Built Environment at Deakin University.
-
A.
sebaste
Sebaste was a prestigious Byzantine court title, often granted to high-ranking women of the imperial family to signify their elevated status and influence.
-
B.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
C.
SEB
SEB is a major Swedish financial group and bank, historically linked to the influential Wallenberg family and known for its corporate and investment banking services in Northern Europe.
-
D.
SEB
SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
-
E.
SEREB
SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999088c8190900497f18728bd0b |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef2d6048190954144ab848760ec |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006fc84390819083d9d2ac1c558827 |
completed | May 10, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007068715c8190914ccac7b14103e4 |
completed | May 10, 2026, 11:47 a.m. |
Created at: April 10, 2026, 5:16 a.m.