Triple
T31991820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiisi |
E816891
|
entity |
| Predicate | linguisticUse |
P29199
|
FINISHED |
| Object | mild curse word in modern Finnish |
—
|
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: mild curse word in modern Finnish | Statement: [Hiisi, linguisticUse, mild curse word in modern Finnish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticUse Context triple: [Hiisi, linguisticUse, mild curse word in modern Finnish]
-
A.
linguisticUsage
chosen
Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
-
B.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
-
C.
linguisticRegister
Indicates the level of formality or stylistic variety in which a linguistic expression is typically used within a given context.
-
D.
typicalLanguageUse
Indicates that one entity is the language most commonly or habitually used by another entity in ordinary communication or contexts.
-
E.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:13 a.m.