Triple
T9265284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WCC |
E222682
|
entity |
| Predicate | offersWorkforceDevelopment |
P78710
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [WCC, offersWorkforceDevelopment, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersWorkforceDevelopment Context triple: [WCC, offersWorkforceDevelopment, yes]
-
A.
offersApprenticeshipTraining
Indicates that one entity provides apprenticeship-based training opportunities or programs to another entity.
-
B.
eligibleWork
Indicates that a particular work satisfies the necessary conditions or criteria to qualify for a specified status, benefit, or consideration.
-
C.
employmentAction
Indicates an action or event that changes, initiates, or terminates an employment relationship between entities.
-
D.
offersOpportunity
chosen
Indicates that one entity provides another with a chance or possibility to do, obtain, or experience something.
-
E.
appliedWork
Indicates that an entity has put effort, skill, or labor into performing or producing a particular work or task.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0749efb8819083b48e7446e84a06 |
completed | April 1, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.