Triple
T6878797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | excessive deficit procedure |
E158738
|
entity |
| Predicate | setsReferenceValueFor |
P33135
|
FINISHED |
| Object | government deficit at 3 percent of GDP |
—
|
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: government deficit at 3 percent of GDP | Statement: [excessive deficit procedure, setsReferenceValueFor, government deficit at 3 percent of GDP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsReferenceValueFor Context triple: [excessive deficit procedure, setsReferenceValueFor, government deficit at 3 percent of GDP]
-
A.
settingRelation
Indicates a contextual relationship where one entity serves as the environment, backdrop, or situational context in which another entity exists or an event occurs.
-
B.
setInto
Indicates placing or inserting one entity into another entity or context, often initiating a new state or condition.
-
C.
associatedValue
chosen
Indicates that one entity is linked to another entity that serves as its corresponding or contextually related value.
-
D.
standardSetter
Indicates that one entity establishes, defines, or is responsible for setting standards, norms, or specifications that others are expected to follow.
-
E.
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.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e498bc81908b2fbe0c6a8b95b7 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.