Triple
T586312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Catharina-Amalia of the Netherlands |
E15164
|
entity |
| Predicate | reasonForTitle |
P15925
|
FINISHED |
| Object | accession of her father Willem-Alexander as King 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: accession of her father Willem-Alexander as King of the Netherlands | Statement: [Princess Catharina-Amalia of the Netherlands, reasonForTitle, accession of her father Willem-Alexander as King of the Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForTitle Context triple: [Princess Catharina-Amalia of the Netherlands, reasonForTitle, accession of her father Willem-Alexander as King of the Netherlands]
-
A.
reasonForName
Indicates the explanation or cause behind why an entity has a particular name.
-
B.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
titleMeaning
Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
-
D.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
E.
titleDerivedFrom
Indicates that the title of one entity is obtained or adapted from another entity.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9a46388190a094b9ebf8dec397 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.