Triple
T1241854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sciences Po |
E26673
|
entity |
| Predicate | hasInternationalStudentsShare |
P16422
|
FINISHED |
| Object | approximately 50 percent |
—
|
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: approximately 50 percent | Statement: [Sciences Po, hasInternationalStudentsShare, approximately 50 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalStudentsShare Context triple: [Sciences Po, hasInternationalStudentsShare, approximately 50 percent]
-
A.
hasInternationalStudents
chosen
Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
-
B.
internationalStudentsShare
Indicates the proportion or percentage of a population or group that consists of international students.
-
C.
sharesInstitution
Indicates that two entities are affiliated with or belong to the same institution.
-
D.
offersInternationalPrograms
Indicates that an institution or organization provides programs or courses available to participants from other countries or across national borders.
-
E.
hasStudyAbroad
Indicates that an entity has participated in or completed a study-abroad experience in another country.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf44ac3c8190a28a333b320305fd |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.