Triple
T34383516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il-Port il-Kbir |
E882499
|
entity |
| Predicate | hasMalteseName |
—
|
GENERATED |
| Object | Il-Port il-Kbir |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMalteseName Context triple: [Il-Port il-Kbir, hasMalteseName, Il-Port il-Kbir]
-
A.
MalteseNameOf
chosen
Indicates that one entity is the Maltese-language name or designation of another entity.
-
B.
hasMalayName
Indicates that an entity is associated with a specific name expressed in the Malay language.
-
C.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
D.
hasNameInMonégasque
Indicates that an entity is associated with a specific name expressed in the Monégasque language.
-
E.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
- F. None of above.
Provenance (1 batch)
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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.