Triple
T14521722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شلن صومالي |
E340667
|
entity |
| Predicate | الوحدة_الفرعية |
P28620
|
FINISHED |
| Object | سنت |
—
|
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: سنت | Statement: [شلن صومالي, الوحدة_الفرعية, سنت]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الوحدة_الفرعية Context triple: [شلن صومالي, الوحدة_الفرعية, سنت]
-
A.
subsidiaryUnit
Indicates that one organizational unit functions as a subordinate or dependent division of another, higher-level unit.
-
B.
subunitOf
chosen
Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
-
C.
formerSubunit
Indicates that one entity was previously a subunit or subordinate part of another entity, but no longer holds that status.
-
D.
typicalSubunitOf
Indicates that something is a standard or commonly occurring subcomponent or part of a larger whole.
-
E.
divisionOrStructure
Indicates a relationship where one entity is an internal division, department, or structural subunit that is organizationally contained within another entity.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.