Triple
T22492155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Basketball Federation |
E556045
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FEB
FEB is the governing body responsible for organizing and overseeing professional and amateur basketball activities in Spain.
|
E1539700
|
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: [Spanish Basketball Federation, shortName, FEB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FEB Context triple: [Spanish Basketball Federation, shortName, FEB]
-
A.
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.
-
B.
FEB
FEB is the Faculty of Economics and Business at the University of Groningen, offering education and research in economics, business, and related fields.
-
C.
FEBE
FEBE is the commonly used acronym for the Faculty of Engineering and the Built Environment at a university, encompassing disciplines related to engineering, architecture, and construction.
-
D.
Fev
Fev is a colloquial nickname for Featherstone Rovers, a professional rugby league club based in Featherstone, West Yorkshire, England.
-
E.
FEBIT
FEBIT is the commonly used abbreviation for the Faculty of Engineering, Built Environment and Information Technology at a university.
- 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: [Spanish Basketball Federation, shortName, FEB]
Generated description
FEB is the governing body responsible for organizing and overseeing professional and amateur basketball activities in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FEB Target entity description: FEB is the governing body responsible for organizing and overseeing professional and amateur basketball activities in Spain.
-
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.
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.
-
C.
FEBE
FEBE is the commonly used acronym for the Faculty of Engineering and the Built Environment at a university, encompassing disciplines related to engineering, architecture, and construction.
-
D.
Fev
Fev is a colloquial nickname for Featherstone Rovers, a professional rugby league club based in Featherstone, West Yorkshire, England.
-
E.
FEBIT
FEBIT is the commonly used abbreviation for the Faculty of Engineering, Built Environment and Information Technology at a university.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15caea9d081909adc90ae78999d53 |
completed | April 29, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b126c38fc819090458000ba82b176 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14a059e4819095a3d467c469e783 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b15696e588190a2c76b0a4af285a4 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:49 p.m.