Triple
T4294487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erasmus+ cooperation partnerships |
E99676
|
entity |
| Predicate | supportsPriority |
P55285
|
FINISHED |
| Object | inclusion and diversity |
—
|
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: inclusion and diversity | Statement: [Erasmus+ cooperation partnerships, supportsPriority, inclusion and diversity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPriority Context triple: [Erasmus+ cooperation partnerships, supportsPriority, inclusion and diversity]
-
A.
supportsPrinciple
Indicates that one entity endorses, upholds, or actively backs a particular principle or doctrine.
-
B.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
C.
supportsPosition
Indicates that one entity endorses, upholds, or provides backing for the stance, viewpoint, or role represented by another entity.
-
D.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
E.
supportsValue
Indicates that one entity provides justification, evidence, or backing for the truth, relevance, or appropriateness of a particular value associated with another entity.
- F. None of above. chosen
Provenance (4 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35083f87c8190a3d3b323e76ab575 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:08 p.m.