Triple
T29446916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IS curve |
E746876
|
entity |
| Predicate | capturesRelationshipBetween |
P8534
|
FINISHED |
| Object | real interest rate and aggregate demand |
—
|
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: real interest rate and aggregate demand | Statement: [IS curve, capturesRelationshipBetween, real interest rate and aggregate demand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturesRelationshipBetween Context triple: [IS curve, capturesRelationshipBetween, real interest rate and aggregate demand]
-
A.
definesRelationshipBetween
chosen
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
-
B.
trackRelationship
Indicates a connection in which one entity monitors, follows, or keeps a record of another entity’s state, behavior, or changes over time.
-
C.
showsRelationshipWith
Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
-
D.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
E.
definesRelationshipAs
Indicates that one entity explicitly specifies or establishes the type or nature of the relationship that holds between two or more entities.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 3:28 p.m.