Triple
T17610833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Career-related Programme |
E428959
|
entity |
| Predicate | supportsPathwaysTo |
P29720
|
FINISHED |
| Object | universities |
—
|
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: universities | Statement: [Career-related Programme, supportsPathwaysTo, universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPathwaysTo Context triple: [Career-related Programme, supportsPathwaysTo, universities]
-
A.
supportsPathway
Indicates that one entity contributes to, enables, or maintains the functioning or progression of a specified pathway.
-
B.
hasPathway
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
-
C.
offersPathway
chosen
Indicates that one entity provides a route, means, or opportunity for another entity to reach, access, or transition to something.
-
D.
supportsReach
Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
-
E.
acceptsCareerPath
Indicates that one entity approves or agrees to follow a proposed career path associated with another entity.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2d294881908380b2ab0b4d2503 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.