Triple
T28643965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew Wikiversity |
E725002
|
entity |
| Predicate | supportsLearningProjects |
P203621
|
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: [Hebrew Wikiversity, supportsLearningProjects, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLearningProjects Context triple: [Hebrew Wikiversity, supportsLearningProjects, true]
-
A.
supportsProjectsIn
Indicates that one entity provides assistance, resources, or backing for projects occurring within or associated with another entity.
-
B.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
-
C.
supportsLearningMechanism
Indicates that one entity facilitates, enables, or enhances the learning mechanism or process of another entity.
-
D.
supportsSTEMLearning
Indicates that one entity provides resources, opportunities, or conditions that facilitate or enhance another entity’s learning in science, technology, engineering, and mathematics (STEM).
-
E.
supportsProjectType
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a01b50490e481908eb1d675561fdde2 |
completed | May 11, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_6a01b44b106481908aa98a3f1eb2c119 |
completed | May 11, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_6a01b503aafc81908c9e38c2f3b68016 |
completed | May 11, 2026, 10:52 a.m. |
Created at: April 28, 2026, 4:47 a.m.