Triple
T9993092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian diaspora |
E196936
|
entity |
| Predicate | maintainsAspectOf |
P39803
|
FINISHED |
| Object | Italian culture |
—
|
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: Italian culture | Statement: [Italian diaspora, maintainsAspectOf, Italian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maintainsAspectOf Context triple: [Italian diaspora, maintainsAspectOf, Italian culture]
-
A.
maintainsThrough
chosen
Indicates that one entity preserves, upholds, or continues a state, condition, or relationship by means of another specified entity, process, or medium.
-
B.
maintainedAs
Indicates that one entity is kept in a particular state, condition, or configuration by another entity through ongoing care, management, or support.
-
C.
governsAspectOf
Indicates that one entity exercises control, regulation, or determining influence over a particular aspect or component of another entity.
-
D.
onAspect
Indicates that one entity is positioned on a particular side, surface, or facet of another entity.
-
E.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb96c7308190902802ef5df764c1 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.