Triple
T22514915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian telephone numbering plan |
E556614
|
entity |
| Predicate | languageOfRegulation |
P147525
|
FINISHED |
| Object | Italian |
—
|
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 | Statement: [Italian telephone numbering plan, languageOfRegulation, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfRegulation Context triple: [Italian telephone numbering plan, languageOfRegulation, Italian]
-
A.
primaryLanguageRegulated
Indicates that an authority or governing body sets rules or standards for the primary language used in a given context or domain.
-
B.
languageInLaw
chosen
Indicates that a specific language is used as the official or operative language within a particular law or legal document.
-
C.
languageOfLegalCode
Indicates that a specified language is the language in which a particular legal code or body of law is written or officially expressed.
-
D.
relatedRegulation
Indicates that there exists a regulatory rule, law, or directive that is associated with, governs, or is otherwise relevant to the referenced entity or activity.
-
E.
languageOfJurisdiction
Indicates the language officially used for legal and administrative purposes within a given jurisdiction.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2c3098819098a553133cc9515b |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.