Triple
T14377999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sámi languages |
E356523
|
entity |
| Predicate | areMutuallyIntelligibleAcrossAllVarieties |
P18451
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Sámi languages, areMutuallyIntelligibleAcrossAllVarieties, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areMutuallyIntelligibleAcrossAllVarieties Context triple: [Sámi languages, areMutuallyIntelligibleAcrossAllVarieties, false]
-
A.
areMutuallyIntelligibleToSomeDegree
Indicates that two or more languages or communication systems can be at least partially understood by each other’s users without prior learning or translation.
-
B.
hasDialectContinuumWith
chosen
Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
-
C.
hasLinguisticVariety
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
D.
sharesLinguisticFamilyWith
Indicates that two languages belong to the same linguistic family or branch within a language family.
-
E.
lessMutuallyIntelligibleThan
Indicates that the level of mutual intelligibility between one pair of languages (or language varieties) is lower than that between another pair.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.