Triple
T7461245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRNs |
E176252
|
entity |
| Predicate | inflationProtection |
P8047
|
FINISHED |
| Object | not inflation-indexed |
—
|
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: not inflation-indexed | Statement: [FRNs, inflationProtection, not inflation-indexed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inflationProtection Context triple: [FRNs, inflationProtection, not inflation-indexed]
-
A.
inflationType
chosen
Indicates the specific category or nature of inflation associated with an economic measure or context.
-
B.
hasInflationRisk
Indicates that something is subject to potential loss of value or purchasing power due to inflation.
-
C.
inflationContext
Indicates that an event, statement, or value is interpreted specifically within the economic condition or period characterized by inflation.
-
D.
hasInflation
Indicates that an economic system, currency, or market is experiencing a general increase in prices and a corresponding decrease in purchasing power over time.
-
E.
regulatesInflationWith
Indicates a relationship where one entity controls, influences, or stabilizes the inflation level of another entity, typically through specific tools, policies, or mechanisms.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:38 p.m.