Triple
T23299121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AGIL paradigm |
E590252
|
entity |
| Predicate | theoreticalPurpose |
P151770
|
FINISHED |
| Object | explain how social systems maintain stability |
—
|
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: explain how social systems maintain stability | Statement: [AGIL paradigm, theoreticalPurpose, explain how social systems maintain stability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoreticalPurpose Context triple: [AGIL paradigm, theoreticalPurpose, explain how social systems maintain stability]
-
A.
theoreticalInspiration
Indicates that one entity serves as a conceptual or intellectual source of ideas, models, or frameworks that inform or shape the theory or approach of another entity.
-
B.
theorized
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
C.
theoreticalText
Indicates that one entity is a theoretical or conceptual written work about, or used as a basis for understanding, the other entity.
-
D.
presentsTheory
Indicates that one entity formally puts forward or explains a theory to another entity or audience.
-
E.
statisticalPurpose
Indicates that something is used for collecting, analyzing, or presenting data for statistical analysis or reporting purposes.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d133448190bf350a9f51c1531c |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:03 p.m.