Triple
T11813698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romania and Moldova |
E280940
|
entity |
| Predicate | shareEducationalExchange |
P95193
|
FINISHED |
| Object | Romanian university scholarships for Moldovan students |
—
|
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: Romanian university scholarships for Moldovan students | Statement: [Romania and Moldova, shareEducationalExchange, Romanian university scholarships for Moldovan students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareEducationalExchange Context triple: [Romania and Moldova, shareEducationalExchange, Romanian university scholarships for Moldovan students]
-
A.
sharesCurriculumWith
Indicates that two educational programs or courses use the same or substantially overlapping curriculum content.
-
B.
shareHigherEducationFeature
chosen
Indicates that two entities have at least one higher-education-related attribute or characteristic in common.
-
C.
sharesInstitution
Indicates that two entities are affiliated with or belong to the same institution.
-
D.
sharesSchoolSystemServicesWith
Indicates that two entities use or are supported by the same school system services or infrastructure.
-
E.
sharesTrainingWith
Indicates that two entities have participated in the same training activity, program, or session.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.