Triple
T18751343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scientia, Artes, Humanitas |
E458532
|
entity |
| Predicate | expressesValueOf |
P49807
|
FINISHED |
| Object | intellectual pursuits |
—
|
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: intellectual pursuits | Statement: [Scientia, Artes, Humanitas, expressesValueOf, intellectual pursuits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressesValueOf Context triple: [Scientia, Artes, Humanitas, expressesValueOf, intellectual pursuits]
-
A.
valueExpressed
chosen
Indicates that a particular value, opinion, or quantitative measure is articulated, represented, or made explicit by an entity or expression.
-
B.
learnsValueOf
Indicates that one entity acquires or comes to understand the value, meaning, or significance of another entity.
-
C.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
-
D.
isValuedFor
Indicates that one entity is appreciated, esteemed, or considered important because of a particular quality, contribution, or characteristic it provides to another entity.
-
E.
valueOfL
Indicates that one entity represents the numerical or quantitative value associated with another entity, typically in a specific context or measurement.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579ed4e6881908791f2a6250010a6 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.