Triple
T13041764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borno Emirate |
E327209
|
entity |
| Predicate | traditionalHierarchyLevel |
P35573
|
FINISHED |
| Object | first-class emirate in Nigeria |
—
|
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: first-class emirate in Nigeria | Statement: [Borno Emirate, traditionalHierarchyLevel, first-class emirate in Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalHierarchyLevel Context triple: [Borno Emirate, traditionalHierarchyLevel, first-class emirate in Nigeria]
-
A.
traditionalLevel
Indicates the degree to which something adheres to established customs, practices, or traditions.
-
B.
gradeHierarchy
Indicates a hierarchical relationship between grades or levels, where one grade is ranked above or below another in an ordered structure.
-
C.
normHierarchy
Indicates a hierarchical relationship between norms, where one norm is ranked as superior, more general, or otherwise governing in relation to another.
-
D.
legalHierarchyRank
Indicates the relative position or level of authority an entity holds within a legal or judicial hierarchy.
-
E.
titleHierarchy
chosen
Indicates a hierarchical relationship between titles, where one title is ranked above or below another in an ordered structure.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:56 p.m.