Triple
T30336812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Education at Duquesne University |
E771643
|
entity |
| Predicate | grantsCredential |
P175680
|
FINISHED |
| Object | teaching credentials |
—
|
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: teaching credentials | Statement: [School of Education at Duquesne University, grantsCredential, teaching credentials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsCredential Context triple: [School of Education at Duquesne University, grantsCredential, teaching credentials]
-
A.
grantsAbility
Indicates that one entity endows another entity with a specific capability or power that it did not previously possess.
-
B.
grantedAttribute
Indicates that one entity has been given or assigned a specific attribute, property, or characteristic by another entity or process.
-
C.
grantedAs
Indicates that one entity is conferred, assigned, or bestowed in a particular role, status, or capacity to another entity.
-
D.
grantUse
Indicates that one entity gives another entity permission or authorization to use something.
-
E.
believedToGrant
Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
- F. None of above. chosen
Provenance (4 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 29, 2026, 7:54 p.m.