Triple
T9336773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Climate Protection Fellowship |
E224662
|
entity |
| Predicate | supportsTypeOfProject |
P4243
|
FINISHED |
| Object | research projects |
—
|
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: research projects | Statement: [International Climate Protection Fellowship, supportsTypeOfProject, research projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTypeOfProject Context triple: [International Climate Protection Fellowship, supportsTypeOfProject, research projects]
-
A.
supportsProjectType
chosen
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
-
B.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
-
C.
eligibleProjectType
Indicates that a project belongs to a category or type that qualifies it for a specific program, process, or benefit.
-
D.
hasProjectType
Indicates that an entity is associated with, or classified under, a specific type or category of project.
-
E.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f161e481908e23c1ec7e5fcf97 |
completed | April 1, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.