Triple
T25793150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cangin languages |
E649602
|
entity |
| Predicate | areMutuallyIntelligibleWithSerer |
P159272
|
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: [Cangin languages, areMutuallyIntelligibleWithSerer, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areMutuallyIntelligibleWithSerer Context triple: [Cangin languages, areMutuallyIntelligibleWithSerer, 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.
lessMutuallyIntelligibleThan
Indicates that the level of mutual intelligibility between one pair of languages (or language varieties) is lower than that between another pair.
-
C.
hasLanguageSimilarTo
Indicates that one entity uses or is associated with a language that is similar or closely related to the language used or associated with another entity.
-
D.
coexistsWithLanguage
Indicates that one entity exists or functions alongside a particular language at the same time, without excluding or replacing it.
-
E.
canBeUnderstoodBy
Indicates that something is comprehensible or interpretable to a particular entity or group.
- F. None of above. chosen
Provenance (4 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ff0074908190a36e4b960dd43734 |
completed | May 2, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 6:01 a.m.