Triple
T8710119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digil |
E206752
|
entity |
| Predicate | hasDialectClusterStatus |
P24201
|
FINISHED |
| Object | major dialect cluster of Somali |
—
|
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: major dialect cluster of Somali | Statement: [Digil, hasDialectClusterStatus, major dialect cluster of Somali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDialectClusterStatus Context triple: [Digil, hasDialectClusterStatus, major dialect cluster of Somali]
-
A.
hasDialectStatus
chosen
Indicates that one language variety holds a particular dialect-related status or classification in relation to another language or linguistic standard.
-
B.
hasDialectsIn
Indicates that a language or linguistic variety possesses distinct dialects that are used or found within a specified region or context.
-
C.
hasDialects
Indicates that an entity (typically a language) possesses one or more distinct dialectal varieties.
-
D.
hasPrimaryClusterIn
Indicates that an entity’s main or most significant cluster is located within or associated with a specified cluster or grouping.
-
E.
hasDialectCounterpart
Indicates that one linguistic form or expression has a corresponding equivalent in another dialect.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3034708190b895eaf890d62198 |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.