Triple
T15365885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dropsie College for Hebrew and Cognate Learning |
E367411
|
entity |
| Predicate | mottoCharacteristic |
P25715
|
FINISHED |
| Object | emphasis on research over confessional training |
—
|
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: emphasis on research over confessional training | Statement: [Dropsie College for Hebrew and Cognate Learning, mottoCharacteristic, emphasis on research over confessional training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoCharacteristic Context triple: [Dropsie College for Hebrew and Cognate Learning, mottoCharacteristic, emphasis on research over confessional training]
-
A.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
B.
mottoEmphasizes
chosen
Indicates that a motto highlights, stresses, or gives special importance to a particular idea, value, or theme.
-
C.
mottoOrRole
Indicates that one entity serves as the motto, slogan, or role designation associated with another entity.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
mottoOrNickname
Indicates that one entity serves as a motto, slogan, or nickname associated with another entity.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.