Triple
T5560792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco-Dutch relations |
E145759
|
entity |
| Predicate | hasContemporaryAspect |
P46893
|
FINISHED |
| Object | European Union cooperation |
—
|
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: European Union cooperation | Statement: [Franco-Dutch relations, hasContemporaryAspect, European Union cooperation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContemporaryAspect Context triple: [Franco-Dutch relations, hasContemporaryAspect, European Union cooperation]
-
A.
hasModernAspect
chosen
Indicates that something possesses characteristics, features, or qualities associated with modern or contemporary style, design, or thinking.
-
B.
isModern
Indicates that something belongs to, reflects, or is characteristic of the contemporary or recent period, especially in style, design, or thinking.
-
C.
contemporaryWith
Indicates that two entities existed, occurred, or were active during the same time period.
-
D.
hasContemporaryRecognition
Indicates that an entity is currently acknowledged, honored, or widely recognized in the present time or modern era.
-
E.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201857848190a5443b51bcdb63fa |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.