Triple
T9606102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabaka Yekka |
E231974
|
entity |
| Predicate | usedTraditionalAuthority |
P18538
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kabaka Yekka, usedTraditionalAuthority, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTraditionalAuthority Context triple: [Kabaka Yekka, usedTraditionalAuthority, yes]
-
A.
traditionalAuthorityOver
Indicates that one entity holds customary or historically established power, control, or decision-making authority over another entity.
-
B.
hasTraditionalRecognition
Indicates that an entity is acknowledged or honored according to established customs, practices, or longstanding cultural traditions.
-
C.
uniformAuthority
Indicates that an authority or governing body applies rules, standards, or control consistently and uniformly across all relevant entities or situations.
-
D.
usesAuthorityOf
chosen
Indicates that one entity exercises power, rights, or influence derived from or on behalf of another entity’s authority.
-
E.
hasTraditionalInstitutions
Indicates that an entity possesses or is associated with long-established, customary social, cultural, or governance institutions.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a6006d48190adc03306533b9be6 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.