Triple
T29446892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IS curve |
E746876
|
entity |
| Predicate | slopeReason |
P167192
|
FINISHED |
| Object | higher interest rates reduce investment and thus equilibrium output |
—
|
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: higher interest rates reduce investment and thus equilibrium output | Statement: [IS curve, slopeReason, higher interest rates reduce investment and thus equilibrium output]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeReason Context triple: [IS curve, slopeReason, higher interest rates reduce investment and thus equilibrium output]
-
A.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
B.
slopeUse
Indicates how a particular slope or gradient is utilized or purposed in relation to another entity.
-
C.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
E.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b21ea908190ae69b3f802fadab1 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:28 p.m.