Triple
T27136873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTL |
E681710
|
entity |
| Predicate | hasStudentMobilityType |
P52184
|
FINISHED |
| Object | exchange programs |
—
|
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: exchange programs | Statement: [GTL, hasStudentMobilityType, exchange programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentMobilityType Context triple: [GTL, hasStudentMobilityType, exchange programs]
-
A.
hasStudentMobility
chosen
Indicates that there is a relationship in which students move or participate across different institutions, locations, or programs (e.g., through exchanges, study abroad, or similar mobility activities).
-
B.
hasStudentMovementsIn
Indicates that a student’s movements or activities occur within or are associated with a particular location or context.
-
C.
supportsMobilityType
Indicates that one entity provides compatibility with, or can function using, a specified type of mobility or movement mode.
-
D.
hasMobilityConcept
Indicates a relationship where an entity is associated with, or characterized by, a specific concept or model of mobility (e.g., movement, transportation, or locomotion).
-
E.
mobilityMethod
Indicates the means or method by which an entity moves or is transported from one place to another.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 27, 2026, 9:07 a.m.