Triple
T12712220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ado-Odo/Ota |
E303746
|
entity |
| Predicate | hasTraditionalRulerTitle |
P17683
|
FINISHED |
| Object | Olota of Ota |
E969721
|
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: Olota of Ota | Statement: [Ado-Odo/Ota, hasTraditionalRulerTitle, Olota of Ota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olota of Ota Context triple: [Ado-Odo/Ota, hasTraditionalRulerTitle, Olota of Ota]
-
A.
Eleko of Eko
Eleko of Eko was the traditional royal title for the ruler of Lagos before the modern designation of Oba of Lagos was adopted.
-
B.
Oba
Oba is a Yoruba river orisha revered as one of the wives of the thunder god Shango, associated with marital fidelity, sacrifice, and emotional resilience.
-
C.
Oba
chosen
Oba is a traditional Yoruba royal title used for kings and paramount rulers in parts of Nigeria and neighboring regions.
-
D.
Alaqua
Alaqua is a feminine given name most notably borne by American actress Alaqua Cox, known for her role in the Marvel Cinematic Universe.
-
E.
Oba Ozolua
Oba Ozolua was a powerful 15th–16th century ruler of the Kingdom of Benin, renowned for his military conquests and expansion of the empire’s influence in West Africa.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96208fa6481909d6fd43654752a2d |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b8f43081909d4a8e4241c813a1 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.