Triple
T16485339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klas Lestander |
E400423
|
entity |
| Predicate | languageOfEthnicityOrCitizenship |
P35871
|
FINISHED |
| Object | Swedish |
—
|
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 | Statement: [Klas Lestander, languageOfEthnicityOrCitizenship, Swedish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfEthnicityOrCitizenship Context triple: [Klas Lestander, languageOfEthnicityOrCitizenship, Swedish]
-
A.
languageOfCitizenship
Indicates the language officially associated with or required for a given citizenship.
-
B.
languageOfCountryOfCitizenship
Indicates the language associated with the country where an entity holds citizenship.
-
C.
ethnicLanguageStatus
chosen
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
-
D.
nationalLanguageSpoken
Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
-
E.
languageOfAdoption
Indicates the language in which an adoption (e.g., of a text, standard, or practice) is formally made or recorded.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e068fac8190a0971f548848fcfe |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.