Triple
T26637338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albanian Football Association |
E668675
|
entity |
| Predicate | shortNameInAlbanian |
P161947
|
FINISHED |
| Object | Federata Shqiptare e Futbollit |
—
|
NE NERFINISHED |
How this triple was built (2 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: Federata Shqiptare e Futbollit | Statement: [Albanian Football Association, shortNameInAlbanian, Federata Shqiptare e Futbollit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortNameInAlbanian Context triple: [Albanian Football Association, shortNameInAlbanian, Federata Shqiptare e Futbollit]
-
A.
hasNameInAlbanian
Indicates that an entity is associated with a specific name or label expressed in the Albanian language.
-
B.
nameInAlbanian
Indicates that an entity is referred to by a particular name when expressed in the Albanian language.
-
C.
hasOfficialNameInAlbanian
Indicates that an entity has an officially recognized name expressed in the Albanian language.
-
D.
shortNameInDanish
Indicates that one entity is the short or abbreviated name of another entity when expressed in Danish.
-
E.
shortNameItalian
Indicates that an entity has a short or abbreviated name expressed in the Italian language.
- F. None of above. chosen
Provenance (4 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f62081136c81909de8090b1d6c1ac5 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fd5442081908ca677a9c81dcb3f |
completed | May 2, 2026, 4:01 p.m. |
Created at: April 27, 2026, 2:27 a.m.