Triple
T10289716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morocco |
E241329
|
entity |
| Predicate | languageBranchOfAmazighLanguages |
P24621
|
FINISHED |
| Object | Berber languages |
—
|
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: Berber languages | Statement: [Morocco, languageBranchOfAmazighLanguages, Berber languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageBranchOfAmazighLanguages Context triple: [Morocco, languageBranchOfAmazighLanguages, Berber languages]
-
A.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
B.
languageFamilyBranchOf
chosen
Indicates that one language family branch is a sub-group or subdivision within a larger language family.
-
C.
usesLanguageSubfamily
Indicates that one entity communicates or operates using a language that belongs to a specified language subfamily.
-
D.
ethnicLanguageStatus
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
-
E.
areOfficialLanguageFamilyOf
Indicates that one or more language families hold official status within, or are formally recognized as official for, a particular entity (such as a country or region).
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:41 a.m.