Triple
T1394214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Aix-Marseille |
E30627
|
entity |
| Predicate | hasInternationalOrientation |
P1499
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University of Aix-Marseille, hasInternationalOrientation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalOrientation Context triple: [University of Aix-Marseille, hasInternationalOrientation, true]
-
A.
hasInternationalStudents
Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
-
B.
isInternational
chosen
Indicates that something has a connection to, involves, or extends across more than one country.
-
C.
supportsInternationalOrientation
Indicates that one entity facilitates, promotes, or enables the international focus, outlook, or activities of another entity.
-
D.
hasInternationalDistrict
Indicates that an entity possesses, contains, or is associated with a designated international district within its boundaries or scope.
-
E.
hasInternationalVersion
Indicates that an entity has a corresponding version or counterpart adapted for use in multiple countries or international contexts.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37cd99081908d16014e0b99992d |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.