Triple
T6877926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1917 Norwegian language reform |
E158716
|
entity |
| Predicate | languagePolicyType |
P73903
|
FINISHED |
| Object | convergence policy between written standards |
—
|
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: convergence policy between written standards | Statement: [1917 Norwegian language reform, languagePolicyType, convergence policy between written standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languagePolicyType Context triple: [1917 Norwegian language reform, languagePolicyType, convergence policy between written standards]
-
A.
languagePolicyRegion
Indicates that a particular language policy applies within, or is associated with, a specific geographic or administrative region.
-
B.
languagePolicyIssue
Indicates that there is a problem, conflict, or concern related to rules or practices governing language use.
-
C.
languageAcademyPolicy
Indicates a policy or set of rules established by a language academy regarding language use, standards, or regulation.
-
D.
languageOfRegistrationPolicies
Indicates the language in which the registration policies are written or officially specified.
-
E.
policyLanguage
Indicates the specific wording or formulation used within a policy to express its rules, conditions, or provisions.
- F. None of above. chosen
Provenance (4 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ccc29c8190904cb73c4cbb5dca |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.