Triple
T12272231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esan |
E292498
|
entity |
| Predicate | traditionalState |
P18799
|
FINISHED |
| Object | Ohordua |
E325718
|
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: Ohordua | Statement: [Esan, traditionalState, Ohordua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohordua Context triple: [Esan, traditionalState, Ohordua]
-
A.
Morungen
Morungen is the German name for the town now known as Morąg, located in northern Poland.
-
B.
The Breakfast
The Breakfast is a Rococo painting by French artist François Boucher that depicts an intimate domestic scene of an aristocratic family gathered around a morning meal.
-
C.
Egun
chosen
Egun are an ethnic group in southwestern Nigeria and neighboring Benin, culturally related to the Yoruba and Fon peoples and known for their distinct language and coastal communities.
-
D.
المائدة
المائدة هي السورة الخامسة في القرآن الكريم، وتتناول أحكام الحلال والحرام والمواثيق والعلاقات مع أهل الكتاب.
-
E.
Porridge
Porridge is a classic British sitcom set in a prison, starring Ronnie Barker as a wisecracking inmate serving time in a fictional UK jail.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6981b48190a0fc5a571c425be1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.