Triple
T21448075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narbonne Gauchos |
E529128
|
entity |
| Predicate | representsSchoolLevel |
P104067
|
FINISHED |
| Object | secondary 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: secondary education | Statement: [Narbonne Gauchos, representsSchoolLevel, secondary education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsSchoolLevel Context triple: [Narbonne Gauchos, representsSchoolLevel, secondary education]
-
A.
representsEducationalInstitution
Indicates that one entity serves as an educational institution for, or in relation to, another entity.
-
B.
representsEducationalInstitutionType
chosen
Indicates that an entity is associated with or classified by a specific type or category of educational institution.
-
C.
operatesOnSchoolLevel
Indicates that an entity performs actions or has responsibilities at the level of a school as an organizational unit.
-
D.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
-
E.
schoolRepresented
Indicates that one entity serves as the representative or official delegate of a school in relation to another entity or context.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d04548819086594c20faa5217d |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:06 p.m.