Triple
T15101592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directorate for Kingdom Relations Coordination |
E360678
|
entity |
| Predicate | coordinatesRelationsBetween |
P34778
|
FINISHED |
| Object | European part of the Netherlands |
—
|
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 part of the Netherlands | Statement: [Directorate for Kingdom Relations Coordination, coordinatesRelationsBetween, European part of the Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinatesRelationsBetween Context triple: [Directorate for Kingdom Relations Coordination, coordinatesRelationsBetween, European part of the Netherlands]
-
A.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
B.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
C.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
D.
seriesRelation
Indicates a relationship where one entity is part of, follows from, or is otherwise connected to another within an ordered series or sequence.
-
E.
termRelationTo
chosen
Indicates a general relational association between one term and another, without specifying the exact nature of that 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.