Triple
T28338103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samaru |
E717733
|
entity |
| Predicate | higherEducationHubFor |
P2385
|
FINISHED |
| Object | Northern Nigeria |
—
|
NE NERFINISHED |
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: Northern Nigeria | Statement: [Samaru, higherEducationHubFor, Northern Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherEducationHubFor Context triple: [Samaru, higherEducationHubFor, Northern Nigeria]
-
A.
higherEducationHub
chosen
Indicates a relationship where a place or entity functions as a central location or focal point for higher education activities, institutions, or services.
-
B.
higherEducationServiceArea
Indicates that one entity defines or serves as the geographic or jurisdictional area within which higher education services are provided to another entity.
-
C.
educationalHubFor
Indicates that one entity serves as a central place or resource for providing education, learning opportunities, or academic support to another entity.
-
D.
educationAspiration
Indicates an individual's intended or desired level of education or educational achievement.
-
E.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 12:37 a.m.