Triple
T18458483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École Normale Supérieure de Rennes |
E450966
|
entity |
| Predicate | hasStudentSelection |
P131726
|
FINISHED |
| Object | competitive entrance examination |
—
|
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: competitive entrance examination | Statement: [École Normale Supérieure de Rennes, hasStudentSelection, competitive entrance examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentSelection Context triple: [École Normale Supérieure de Rennes, hasStudentSelection, competitive entrance examination]
-
A.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
B.
hasStudentParticipantsFrom
Indicates that an activity, event, or program includes student participants originating from a specified source, such as an institution, region, or group.
-
C.
hasStudentSection
Indicates that an entity (such as a course or class) is associated with a specific student section or subgroup of enrolled students.
-
D.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
E.
hasStudentCategory
Indicates that an entity is classified under a specific category or type of student.
- F. None of above. chosen
Provenance (4 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7c18d88190ac17f58111722223 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.