Triple
T14229232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian universities |
E352706
|
entity |
| Predicate | offerInstructionMode |
P71966
|
FINISHED |
| Object | on-campus |
—
|
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: on-campus | Statement: [Belgian universities, offerInstructionMode, on-campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offerInstructionMode Context triple: [Belgian universities, offerInstructionMode, on-campus]
-
A.
offersModality
chosen
Indicates that one entity provides or supports a particular mode, method, or form in which something can be experienced, delivered, or performed.
-
B.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
C.
offersAccess
Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
-
D.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
E.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
- 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_69de622a48508190bbfedb762bd1674d |
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.