Triple
T32787288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Cushitic |
E838531
|
entity |
| Predicate | hasNeighboringLanguageBranch |
P16383
|
FINISHED |
| Object | Agaw (Central Cushitic) |
—
|
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: Agaw (Central Cushitic) | Statement: [North Cushitic, hasNeighboringLanguageBranch, Agaw (Central Cushitic)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighboringLanguageBranch Context triple: [North Cushitic, hasNeighboringLanguageBranch, Agaw (Central Cushitic)]
-
A.
hasNeighboringLanguages
chosen
Indicates that two languages are geographically or regionally adjacent to each other in their areas of use.
-
B.
hasRelatedLanguage
Indicates that one language is related to another through shared linguistic origins, features, or classification.
-
C.
hasPrimaryLanguageSubbranch
Indicates that one language subbranch is the main or principal subbranch associated with a given language or language family.
-
D.
hasSuccessorLanguageInRegion
Indicates that one language is followed or replaced by another language within a specific geographic region.
-
E.
hasDominantNeighborLanguage
Indicates that an entity’s primary neighboring language exerts a dominant influence or holds a superior status over other nearby languages.
- 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: May 1, 2026, 1:14 a.m.