Triple
T25558238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mende people |
E640631
|
entity |
| Predicate | educationRoleOfSocieties |
P4140
|
FINISHED |
| Object | sexual education |
—
|
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: sexual education | Statement: [Mende people, educationRoleOfSocieties, sexual education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationRoleOfSocieties Context triple: [Mende people, educationRoleOfSocieties, sexual education]
-
A.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
B.
hasEducationalRole
chosen
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
C.
educationBoardAffiliation
Indicates the governing education board or authority with which an educational institution is formally affiliated or recognized.
-
D.
educationalRoleSince
Indicates the point in time since which an entity has held a particular educational role or position in relation to another entity.
-
E.
coordinatesEducation
Indicates that one entity organizes, manages, or oversees the educational activities, programs, or services of another entity.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 3:44 p.m.