Triple
T17373093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mette Frederiksen |
E422364
|
entity |
| Predicate | isYoungest |
P19639
|
FINISHED |
| Object | youngest-ever Prime Minister of Denmark |
—
|
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: youngest-ever Prime Minister of Denmark | Statement: [Mette Frederiksen, isYoungest, youngest-ever Prime Minister of Denmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isYoungest Context triple: [Mette Frederiksen, isYoungest, youngest-ever Prime Minister of Denmark]
-
A.
isYoungestOf
chosen
Indicates that the subject is the youngest member within the specified group or set of related entities.
-
B.
isEarliestAgeOf
Indicates that one value represents the minimum or first age at which a specified condition, event, or state occurs for an entity.
-
C.
youngestAge
Indicates that the relationship specifies the minimum or lowest age among a set of entities or within a given context.
-
D.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
E.
hasYoungestDaughter
Indicates that one entity is the youngest daughter of another entity.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6a9ec881908bfe49413826d37e |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.