Triple
T18410952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Movement for the Autonomies |
E441754
|
entity |
| Predicate | typeOfRegionalism |
P86279
|
FINISHED |
| Object | Sicilian regionalism |
—
|
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: Sicilian regionalism | Statement: [Movement for the Autonomies, typeOfRegionalism, Sicilian regionalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRegionalism Context triple: [Movement for the Autonomies, typeOfRegionalism, Sicilian regionalism]
-
A.
regionalType
Indicates the classification of a region according to its designated type or category within a broader geographic or administrative system.
-
B.
typeOfRegionalization
Indicates the specific method or scheme by which a larger area is divided into regions or regional units.
-
C.
politicalRegionType
Indicates the classification of a political region according to its governmental or administrative type (e.g., state, province, municipality).
-
D.
regionalOrientation
chosen
Indicates how something is directed, aligned, or focused toward a particular geographic region or area.
-
E.
countryRegionalOrganization
Indicates that a country is a member of, or affiliated with, a specific regional organization.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5195df3288190be61f4053476c735 |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.