Triple
T25957315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngazidja |
E645439
|
entity |
| Predicate | localComorianDialect |
P160702
|
FINISHED |
| Object | Shingazidja |
—
|
NE NERFINISHED |
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: Shingazidja | Statement: [Ngazidja, localComorianDialect, Shingazidja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localComorianDialect Context triple: [Ngazidja, localComorianDialect, Shingazidja]
-
A.
hasCreoleLanguage
Indicates that an entity possesses, uses, or is associated with a creole language.
-
B.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
C.
languageFamilyOfMajorCreole
Indicates that a given language family is the primary source or base language group from which a particular major creole language is derived.
-
D.
nameInHaitianCreole
Indicates that an entity is known or referred to by a particular name when expressed in Haitian Creole.
-
E.
isLinguaFrancaOf
Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6049fb3cc8190838f62ac732da3f7 |
completed | May 2, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 22, 2026, 8:46 a.m.