Triple
T18563796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanya block |
E453710
|
entity |
| Predicate | generalCategoryContent |
P58049
|
FINISHED |
| Object | letters |
—
|
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: letters | Statement: [Osmanya block, generalCategoryContent, letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalCategoryContent Context triple: [Osmanya block, generalCategoryContent, letters]
-
A.
generalCategory
chosen
Indicates that one entity is classified as a broad or overarching category to which the other entity belongs.
-
B.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
-
C.
general
Indicates that one entity has a broad, non-specific, or overarching relationship or association with another entity.
-
D.
socialCategory
Indicates that an entity belongs to, or is classified within, a particular social group, class, or category.
-
E.
agingCategory
Indicates the classification of an entity based on its stage or degree of aging.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afc57448190abd90167d7e12a18 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:42 a.m.