Triple
T14695056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenoble École de Management |
E345133
|
entity |
| Predicate | isTripleAccredited |
P110173
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Grenoble École de Management, isTripleAccredited, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTripleAccredited Context triple: [Grenoble École de Management, isTripleAccredited, true]
-
A.
hasTripleAccreditation
chosen
Indicates that an entity holds three distinct, formally recognized accreditations from relevant accrediting bodies.
-
B.
isAccredited
Indicates that an entity has been officially recognized or certified as meeting established standards by an authorized accrediting body.
-
C.
accreditedTo
Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
-
D.
mayAlsoBeAccreditedTo
Indicates that the credit or attribution for something can additionally be assigned to another entity beyond the primary one.
-
E.
hasAccreditationType
Indicates that an entity holds or is associated with a specific category or kind of accreditation.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb586e7108190be644db9cf9a4d99 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.