Triple
T12918544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngozi Oduah |
E309052
|
entity |
| Predicate | likelyNationalOrigin |
P107010
|
FINISHED |
| Object | Nigerian |
—
|
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: Nigerian | Statement: [Ngozi Oduah, likelyNationalOrigin, Nigerian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyNationalOrigin Context triple: [Ngozi Oduah, likelyNationalOrigin, Nigerian]
-
A.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
recognizedAsNationalityInCensusOf
Indicates that an entity was officially recorded or classified as having a particular nationality in the census conducted by a specified authority or at a specified time.
-
C.
includedNationality
Indicates that one entity’s set of nationalities contains or encompasses the nationality of another entity.
-
D.
nationalityOfPersonReferredTo
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
-
E.
originalNationality
Indicates the country or nationality an entity initially belonged to or originated from, before any later changes in citizenship or affiliation.
- F. None of above. chosen
Provenance (4 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9708a86bc8190bcdcf97e845bb413 |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:41 p.m.