Triple
T6448485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian Expeditionary Force |
E139803
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
FEB
FEB is the acronym commonly used to refer to the Brazilian Expeditionary Force that fought alongside the Allies in Italy during World War II.
|
E594077
|
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: FEB | Statement: [Brazilian Expeditionary Force, nickname, FEB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FEB Context triple: [Brazilian Expeditionary Force, nickname, FEB]
-
A.
FEB
FEB is the Faculty of Economics and Business at the University of Groningen, offering education and research in economics, business, and related fields.
-
B.
Fabvier
Fabvier was a prominent French Philhellene and military officer who played a key role in supporting the Greek War of Independence in the early 19th century.
-
C.
February
February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
-
D.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
-
E.
FAB
FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
- 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: FEB Triple: [Brazilian Expeditionary Force, nickname, FEB]
Generated description
FEB is the acronym commonly used to refer to the Brazilian Expeditionary Force that fought alongside the Allies in Italy during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FEB Target entity description: FEB is the acronym commonly used to refer to the Brazilian Expeditionary Force that fought alongside the Allies in Italy during World War II.
-
A.
FEB
FEB is the Faculty of Economics and Business at the University of Groningen, offering education and research in economics, business, and related fields.
-
B.
Fabvier
Fabvier was a prominent French Philhellene and military officer who played a key role in supporting the Greek War of Independence in the early 19th century.
-
C.
February
February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
-
D.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
-
E.
FAB
FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b1a61c81908610264c098d25b0 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bcfc7388190877ad702ea44802d |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64c5e5e5c8190b24aea7e4114daa5 |
completed | March 27, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64da81a0881908fc5716aeb0e47fa |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:47 p.m.