Triple
T1483566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bora wind |
E29412
|
entity |
| Predicate | localNameInItalian |
P17612
|
FINISHED |
| Object | bora |
—
|
LITERAL FINISHED |
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: bora | Statement: [Bora wind, localNameInItalian, bora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localNameInItalian Context triple: [Bora wind, localNameInItalian, bora]
-
A.
nameInItalian
chosen
Indicates that one entity is the Italian-language name or label used to refer to another entity.
-
B.
designationInItaly
Indicates that an entity holds a specific official status, title, or classification within the Italian context (e.g., legal, administrative, or honorific designation in Italy).
-
C.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
-
D.
titleInItalian
Indicates that one entity is the title of another entity expressed in the Italian language.
-
E.
nativeLabel
Indicates the label or name of an entity expressed in its own native or original 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.