Triple
T35032070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Agency of Protected Areas of Albania |
E1010806
|
entity |
| Predicate | fullNameInAlbanian |
P126686
|
FINISHED |
| Object | Agjencia Kombëtare e Zonave të Mbrojtura |
—
|
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: Agjencia Kombëtare e Zonave të Mbrojtura | Statement: [National Agency of Protected Areas of Albania, fullNameInAlbanian, Agjencia Kombëtare e Zonave të Mbrojtura]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullNameInAlbanian Context triple: [National Agency of Protected Areas of Albania, fullNameInAlbanian, Agjencia Kombëtare e Zonave të Mbrojtura]
-
A.
nameInAlbanian
Indicates that an entity is referred to by a particular name when expressed in the Albanian language.
-
B.
hasNameInAlbanian
Indicates that an entity is associated with a specific name or label expressed in the Albanian language.
-
C.
hasOfficialNameInAlbanian
chosen
Indicates that an entity has an officially recognized name expressed in the Albanian language.
-
D.
shortNameInAlbanian
Indicates that one entity is the short or abbreviated form of another entity’s name in the Albanian language.
-
E.
nameInMontenegrin
Indicates the specific form of an entity’s name as expressed in the Montenegrin language.
- F. None of above.
Provenance (3 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.