Triple
T19826786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège Marais de Villiers |
E476345
|
entity |
| Predicate | partOfSchoolCycle |
P73150
|
FINISHED |
| Object | collège (France) |
—
|
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: collège (France) | Statement: [Collège Marais de Villiers, partOfSchoolCycle, collège (France)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSchoolCycle Context triple: [Collège Marais de Villiers, partOfSchoolCycle, collège (France)]
-
A.
schoolPhase
chosen
Indicates the specific stage or level within an educational system at which the related entity operates or applies.
-
B.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
C.
attendsSchoolIn
Indicates that a person is enrolled as a student at, and regularly goes to, a school located in a particular place.
-
D.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
E.
primaryYearLevel
Indicates the main or principal year level associated with an entity, such as a student, course, or program.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cb20788190b9deac6b8af6a55d |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.