Triple
T33366122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of English at Skidmore College |
E854357
|
entity |
| Predicate | offersSkillTraining |
P103919
|
FINISHED |
| Object | critical thinking |
—
|
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: critical thinking | Statement: [Department of English at Skidmore College, offersSkillTraining, critical thinking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSkillTraining Context triple: [Department of English at Skidmore College, offersSkillTraining, critical thinking]
-
A.
offersApprenticeshipTraining
Indicates that one entity provides apprenticeship-based training opportunities or programs to another entity.
-
B.
offersTrainingLevel
Indicates that one entity provides or makes available a specific level or tier of training to another entity.
-
C.
skillTaught
chosen
Indicates that one entity teaches or imparts a particular skill to another entity.
-
D.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
E.
offersOffTrainExperiences
Indicates that an entity provides or arranges activities or services for passengers outside the train itself, typically at destinations or stops along the route.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: May 1, 2026, 1:35 a.m.