Triple
T5917828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell College |
E131624
|
entity |
| Predicate | offeredQualification |
P49
|
FINISHED |
| Object | degrees |
—
|
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: degrees | Statement: [Bell College, offeredQualification, degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredQualification Context triple: [Bell College, offeredQualification, degrees]
-
A.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
B.
currentQualificationIncludes
Indicates that an entity’s present qualification set contains or encompasses a specified qualification or component.
-
C.
hasQualificationStructure
Indicates that an entity is associated with a specific configuration or pattern of qualifications (e.g., degrees, certifications, or credentials) that define how those qualifications are organized or structured.
-
D.
qualifiesFrom
Indicates that one entity gains an official status, capability, or eligibility as a result of successfully completing or meeting the requirements of another entity.
-
E.
offersDegree
chosen
Indicates that an institution or program provides a specific academic degree as an available qualification.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.