Triple
T25108135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | process philosophy |
E628919
|
entity |
| Predicate | viewOnRelations |
P84787
|
FINISHED |
| Object | relations are constitutive of entities |
—
|
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: relations are constitutive of entities | Statement: [process philosophy, viewOnRelations, relations are constitutive of entities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnRelations Context triple: [process philosophy, viewOnRelations, relations are constitutive of entities]
-
A.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
B.
testsRelation
Indicates a relationship where one entity evaluates, examines, or verifies another entity, typically to assess its properties, behavior, or correctness.
-
C.
subjectRelation
chosen
Indicates that one entity stands in a specified relational role or connection to another entity.
-
D.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
E.
plotRelation
Indicates a narrative connection between two story elements, such as events, characters, or subplots, showing how one influences or relates to the other within the overall plot.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 6:26 a.m.