Triple
T33059907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège de la Sagesse |
E845943
|
entity |
| Predicate | mainStudentBodyNationality |
P113232
|
FINISHED |
| Object | Lebanese |
—
|
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: Lebanese | Statement: [Collège de la Sagesse, mainStudentBodyNationality, Lebanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainStudentBodyNationality Context triple: [Collège de la Sagesse, mainStudentBodyNationality, Lebanese]
-
A.
studentNationality
Indicates that a student has a particular nationality or country of citizenship.
-
B.
countryOfCitizenshipOfMostStudents
chosen
Indicates the country in which the largest number of the students hold citizenship.
-
C.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
-
D.
countryOfOriginOfStudents
Indicates the country from which the students originate or have their primary national affiliation.
-
E.
inUniverseStudentBody
Indicates that a student body exists within, or is part of, a particular fictional or defined universe.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 1:25 a.m.