Triple
T12022854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajayi Crowther University |
E286197
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Oyo |
E62860
|
NE 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: Oyo | Statement: [Ajayi Crowther University, locatedIn, Oyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oyo Context triple: [Ajayi Crowther University, locatedIn, Oyo]
-
A.
Oyo
Oyo is a prominent Yoruba subgroup historically known for its powerful Oyo Empire in what is now southwestern Nigeria.
-
B.
Oyo State
chosen
Oyo State is a southwestern Nigerian state historically known as the heartland of the old Oyo Empire and a major center of Yoruba culture and politics.
-
C.
Oyo-Ile
Oyo-Ile was the historic political and cultural center of the Oyo Empire, one of the most powerful precolonial Yoruba states in West Africa.
-
D.
Tangambalanga
Tangambalanga is a small rural township in northeastern Victoria, Australia, known for its dairy industry and proximity to the regional city of Wodonga.
-
E.
Chuda State
Chuda State was a former princely state in western India historically associated with the Jhala Rajput dynasty.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ee4f9081909e5a58ecbd830b14 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d4f4c80819082ffc0c5aa3505a0 |
completed | May 1, 2026, 12:32 p.m. |
Created at: April 8, 2026, 9:47 p.m.