Triple
T12792182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrskylä |
E305794
|
entity |
| Predicate | hasLanguageMinority |
P52733
|
FINISHED |
| Object | Swedish speakers |
—
|
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: Swedish speakers | Statement: [Myrskylä, hasLanguageMinority, Swedish speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageMinority Context triple: [Myrskylä, hasLanguageMinority, Swedish speakers]
-
A.
linguisticMinorityStatus
Indicates that an entity belongs to a group whose primary language is not the dominant or official language of the surrounding society or region.
-
B.
hasMinorityLanguageServices
Indicates that an entity provides services specifically tailored for speakers of minority or less widely used languages.
-
C.
linguisticMinorityIn
chosen
Indicates that a group or population constitutes a linguistic minority within a specified geographic or political region.
-
D.
languageMinorityGroupsDefinedBy
Indicates that language minority groups are characterized or specified according to a particular criterion, classification, or defining attribute.
-
E.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.