Triple
T12835232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odukpani |
E306891
|
entity |
| Predicate | hasEducationInfrastructure |
P87985
|
FINISHED |
| Object | Primary schools |
—
|
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: Primary schools | Statement: [Odukpani, hasEducationInfrastructure, Primary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationInfrastructure Context triple: [Odukpani, hasEducationInfrastructure, Primary schools]
-
A.
hasEducationFacilities
chosen
Indicates that an entity possesses or provides educational institutions, services, or infrastructure for learning and training.
-
B.
hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
-
C.
hasEducationFund
Indicates that an entity possesses or is associated with a dedicated fund intended to support educational expenses or activities.
-
D.
hasEducationServices
Indicates that one entity provides or offers educational services to another entity or within a particular context.
-
E.
hasOwnEducationSystem
Indicates that one entity possesses and administers its own distinct education system, separate from those of other entities.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:34 p.m.