Triple
T14229234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian universities |
E352706
|
entity |
| Predicate | offerDiscipline |
P2902
|
FINISHED |
| Object | humanities |
—
|
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: humanities | Statement: [Belgian universities, offerDiscipline, humanities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offerDiscipline Context triple: [Belgian universities, offerDiscipline, humanities]
-
A.
offersDiscipline
chosen
Indicates that one entity provides or makes available a particular field of study, training, or area of specialization to another entity.
-
B.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
C.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
D.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
E.
featuredDiscipline
Indicates that one discipline is highlighted or given special prominence in relation to another entity or context.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622b89fc8190af08dab9e1976759 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.