Triple
T12350617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hausa Bakwai |
E294473
|
entity |
| Predicate | culturalIdentityRole |
P3795
|
FINISHED |
| Object | marker of Hausa identity |
—
|
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: marker of Hausa identity | Statement: [Hausa Bakwai, culturalIdentityRole, marker of Hausa identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalIdentityRole Context triple: [Hausa Bakwai, culturalIdentityRole, marker of Hausa identity]
-
A.
hasCulturalRole
chosen
Indicates that an entity fulfills or is assigned a specific function, position, or significance within a cultural, social, or traditional context.
-
B.
ethnographicRole
Indicates the role or function an entity holds within an ethnographic context, such as a cultural, social, or research-related position.
-
C.
hasAuthorCulturalIdentity
Indicates that an author is associated with a particular cultural identity or background.
-
D.
hasStrongCulturalIdentity
Indicates that an entity possesses a well-defined, deeply rooted, and strongly maintained sense of belonging to a particular culture or cultural tradition.
-
E.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.