Triple
T11580281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyo Palace |
E274607
|
entity |
| Predicate | traditionalInstitutionType |
P303
|
FINISHED |
| Object | Yoruba monarchy |
—
|
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: Yoruba monarchy | Statement: [Oyo Palace, traditionalInstitutionType, Yoruba monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalInstitutionType Context triple: [Oyo Palace, traditionalInstitutionType, Yoruba monarchy]
-
A.
traditionalInstitution
Indicates that an entity is a long-established, customary organization or system that embodies and maintains traditional practices or norms.
-
B.
endedAsTraditionalInstitution
Indicates that an entity’s existence or development concluded with it functioning as a traditional, established institution.
-
C.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
D.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
E.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.