Triple
T20571094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Peers of France |
E505097
|
entity |
| Predicate | modeOfSelection |
P110925
|
FINISHED |
| Object | royal appointment |
—
|
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: royal appointment | Statement: [Chamber of Peers of France, modeOfSelection, royal appointment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfSelection Context triple: [Chamber of Peers of France, modeOfSelection, royal appointment]
-
A.
entrySelectionMethod
chosen
Indicates the method or criteria used to select or admit an entity into a particular group, system, or context.
-
B.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
C.
typeOfSelection
Indicates the specific kind or category of selection being made in a given context.
-
D.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
-
E.
delegateSelectionMethod
Indicates the method or process by which responsibility or authority is assigned from one entity to another.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a5b0688190b45d0fa993c4765c |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.