Triple
T5005314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Chamber of the States General |
E112475
|
entity |
| Predicate | selectionMethodContext |
P381
|
FINISHED |
| Object | appointment by the monarch |
—
|
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: appointment by the monarch | Statement: [First Chamber of the States General, selectionMethodContext, appointment by the monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionMethodContext Context triple: [First Chamber of the States General, selectionMethodContext, appointment by the monarch]
-
A.
selectionMethodChangedBy
Indicates that one entity causes or is responsible for a change in the method or criteria used to make a selection.
-
B.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
C.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
D.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
-
E.
selectionMadeBy
chosen
Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.