Triple
T33375012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of State of the Netherlands |
E854601
|
entity |
| Predicate | isRareDistinction |
P176559
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Minister of State of the Netherlands, isRareDistinction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRareDistinction Context triple: [Minister of State of the Netherlands, isRareDistinction, true]
-
A.
isRarelyAwarded
Indicates that a particular award, honor, or recognition is given out infrequently or under uncommon circumstances.
-
B.
isRareTypeOf
Indicates that one entity is an uncommon or infrequently occurring subtype or category of another entity.
-
C.
hasDistinction
Indicates that one entity possesses, is awarded, or is recognized with a special honor, title, or mark of excellence in relation to another entity or context.
-
D.
isRelativelyRareName
Indicates that the referenced name occurs infrequently relative to other names in the relevant population or dataset.
-
E.
hasPersonDistinction
Indicates that a person holds or has been granted a particular honor, award, title, or other notable distinction.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:35 a.m.