Triple
T37360300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNVB |
E927557
|
entity |
| Predicate | grantedRoyalDesignationBy |
P65823
|
FINISHED |
| Object | Dutch monarchy |
—
|
NE NERFINISHED |
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: Dutch monarchy | Statement: [KNVB, grantedRoyalDesignationBy, Dutch monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedRoyalDesignationBy Context triple: [KNVB, grantedRoyalDesignationBy, Dutch monarchy]
-
A.
royalAppointment
chosen
Indicates a formal position, role, or honor that has been officially granted to an entity by a monarch or royal authority.
-
B.
grantedRoyalPatronageBy
Indicates that an individual, group, or institution has officially received support, endorsement, or sponsorship from a member of a royal family.
-
C.
dateGrantedTitleRoyal
Indicates the specific date on which a royal title was formally granted to an entity.
-
D.
monarchWhoGrantedTitle
Indicates the monarch who conferred or bestowed a particular title upon an individual.
-
E.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:16 p.m.