Triple
T20927402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poul Nyrup Rasmussen |
E515379
|
entity |
| Predicate | oversawIndicatorTrend |
P20679
|
FINISHED |
| Object | decline in unemployment during late 1990s |
—
|
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: decline in unemployment during late 1990s | Statement: [Poul Nyrup Rasmussen, oversawIndicatorTrend, decline in unemployment during late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oversawIndicatorTrend Context triple: [Poul Nyrup Rasmussen, oversawIndicatorTrend, decline in unemployment during late 1990s]
-
A.
oversee
chosen
Indicates having responsibility for supervising, directing, or managing the actions or work of another entity.
-
B.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
C.
reversedTrendOf
Indicates that one trend is the inverse or opposite-direction counterpart of another trend, such that when one increases or moves in a certain direction, the other correspondingly decreases or moves in the opposite direction.
-
D.
oversawPolicy
Indicates that one entity had supervisory or managerial responsibility for the creation, implementation, or maintenance of a policy affecting another entity or domain.
-
E.
indicatorType
Indicates the specific kind or category of indicator associated with an entity or relationship.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f652c3188190ace50415b3b30b83 |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.