Triple
T15244498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tornedalians |
E364343
|
entity |
| Predicate | historicalLanguagePolicyExperience |
P30955
|
FINISHED |
| Object | Swedification |
—
|
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: Swedification | Statement: [Tornedalians, historicalLanguagePolicyExperience, Swedification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLanguagePolicyExperience Context triple: [Tornedalians, historicalLanguagePolicyExperience, Swedification]
-
A.
historicalLanguagePolicy
chosen
Indicates a relationship where an authority’s past rules or practices governed the use, status, or regulation of a language within a society or institution.
-
B.
historicalLanguageStatus
Indicates that a language had a particular official, social, or functional status during a past historical period.
-
C.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
D.
historicalLanguageFeature
Indicates that a language possesses a feature, trait, or characteristic that existed or was relevant in a past historical period.
-
E.
shareHistoricalLanguageStandardization
Indicates that the entities have undergone or adopted the same process or system of historical language standardization.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.