Triple
T11636368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofi Oksanen |
E276529
|
entity |
| Predicate | hasDualCulturalBackground |
P89769
|
FINISHED |
| Object | Finnish-Estonian |
—
|
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: Finnish-Estonian | Statement: [Sofi Oksanen, hasDualCulturalBackground, Finnish-Estonian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDualCulturalBackground Context triple: [Sofi Oksanen, hasDualCulturalBackground, Finnish-Estonian]
-
A.
isBilingual
Indicates that an entity is able to communicate fluently in two distinct languages.
-
B.
hasDistinctCulturalHeritage
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
-
C.
hasMulticulturalTradition
chosen
Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
-
D.
hasDualCitizenship
Indicates that a person is legally recognized as a citizen of two different countries at the same time.
-
E.
hasCulturalPerspective
Indicates a relationship where something is understood, interpreted, or presented from a particular cultural viewpoint or frame of reference.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25d80208190b33e95db2e7cc276 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.