Triple
T8825160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Prices |
E209996
|
entity |
| Predicate | analyzesRelationshipBetween |
P63064
|
FINISHED |
| Object | money supply and prices |
—
|
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: money supply and prices | Statement: [History of Prices, analyzesRelationshipBetween, money supply and prices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzesRelationshipBetween Context triple: [History of Prices, analyzesRelationshipBetween, money supply and prices]
-
A.
exploresRelationship
chosen
Indicates that one entity actively investigates, examines, or probes the nature, dynamics, or implications of its relationship with another entity.
-
B.
relationshipDynamic
Indicates a changing or evolving pattern of interaction between entities, such as shifts in their roles, closeness, or influence over time.
-
C.
showsRelationshipWith
Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
-
D.
reportsRelationship
Indicates that one entity formally provides information, findings, or status about another entity or situation.
-
E.
definesRelationshipBetween
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc603220508190b64e22dec3ee5ceb |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.