Triple
T32523200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister van Justitie |
E831235
|
entity |
| Predicate | hasPortfolioArea |
P12124
|
FINISHED |
| Object | justice |
—
|
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: justice | Statement: [Minister van Justitie, hasPortfolioArea, justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortfolioArea Context triple: [Minister van Justitie, hasPortfolioArea, justice]
-
A.
hasVenuePortfolio
Indicates that an entity maintains or owns a collection or portfolio of venues.
-
B.
hasNotableCollectionArea
Indicates that an entity possesses a significant or distinguished collection focused on a particular subject, theme, or domain.
-
C.
portfolioOf
chosen
Indicates that one entity is the collection of investments, works, or assets that are owned, managed, or represented by another entity.
-
D.
hasPortArea
Indicates that an entity possesses or is associated with a specific port area, typically representing the spatial extent or boundary of its port facilities.
-
E.
hasNotableLandmarkInPortfolio
Indicates that an entity includes a specific notable landmark among the assets or properties it manages, owns, or represents in its portfolio.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:01 a.m.