Triple
T8164596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artikel 42 Grondwet |
E190658
|
entity |
| Predicate | wordtUitgewerktIn |
P81046
|
FINISHED |
| Object | gewoonte- en ongeschreven staatsrecht over de rol van de Koning |
—
|
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: gewoonte- en ongeschreven staatsrecht over de rol van de Koning | Statement: [Artikel 42 Grondwet, wordtUitgewerktIn, gewoonte- en ongeschreven staatsrecht over de rol van de Koning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wordtUitgewerktIn Context triple: [Artikel 42 Grondwet, wordtUitgewerktIn, gewoonte- en ongeschreven staatsrecht over de rol van de Koning]
-
A.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
B.
worksAs
Indicates that an entity performs the role, job, or occupation specified by another entity.
-
C.
word1
Indicates that there is a first word in a sequence or pair that participates in the specified relationship.
-
D.
worksThrough
Indicates that one entity performs an action, causes an effect, or achieves a result by using, employing, or acting via another entity as an intermediary or means.
-
E.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
- F. None of above. chosen
Provenance (4 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb40a017608190b6b48cf60335fa8d |
completed | March 31, 2026, 3:33 a.m. |
Created at: March 30, 2026, 5:38 p.m.