Triple
T3543334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Reserve Bank presidents |
E74937
|
entity |
| Predicate | helpsSet |
P45631
|
FINISHED |
| Object | target federal funds rate |
—
|
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: target federal funds rate | Statement: [Federal Reserve Bank presidents, helpsSet, target federal funds rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsSet Context triple: [Federal Reserve Bank presidents, helpsSet, target federal funds rate]
-
A.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
B.
set
Indicates that an entity places, positions, or establishes another entity into a particular state, configuration, or location.
-
C.
helpsProduce
chosen
Indicates that one entity contributes to or facilitates the creation, generation, or production of another entity.
-
D.
canSet
Indicates that one entity has the ability or permission to assign, configure, or change a property, value, or state of another entity.
-
E.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf752dd481909226044ffe595338 |
completed | March 8, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.