Triple
T31196577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berber world |
E795339
|
entity |
| Predicate | languageFamilyBelongsTo |
P36135
|
FINISHED |
| Object | Afroasiatic languages |
—
|
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: Afroasiatic languages | Statement: [Berber world, languageFamilyBelongsTo, Afroasiatic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageFamilyBelongsTo Context triple: [Berber world, languageFamilyBelongsTo, Afroasiatic languages]
-
A.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
B.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
C.
languageFamilyAssociation
chosen
Indicates an association where one entity belongs to, is classified under, or is related to a particular language family.
-
D.
languageFamilyUsedFor
Indicates that a particular language family is employed or utilized for a specific purpose, context, or function.
-
E.
languageFamilyAssociated
Indicates that there is an association or connection between a language and a particular language family.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
Created at: April 29, 2026, 9:09 p.m.