Triple
T28730212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meditation V |
E730633
|
entity |
| Predicate | reliesOnConcept |
P73664
|
FINISHED |
| Object | clear and distinct ideas |
—
|
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: clear and distinct ideas | Statement: [Meditation V, reliesOnConcept, clear and distinct ideas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reliesOnConcept Context triple: [Meditation V, reliesOnConcept, clear and distinct ideas]
-
A.
conceptuallyDependsOn
chosen
Indicates that one entity’s definition, validity, or understanding relies on or is grounded in the concepts provided by another entity.
-
B.
reliedOn
Indicates that one entity depends on another for support, resources, or functionality.
-
C.
followsInConcept
Indicates that one concept comes after or is derived from another concept in a logical, thematic, or conceptual sequence.
-
D.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
E.
basingConcept
Indicates that one concept serves as the foundational basis or underlying rationale for another concept.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657673c348190a522dd164d2042fd |
completed | May 2, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:58 a.m.