Triple
T17004244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonet Constitution |
E412527
|
entity |
| Predicate | decreasedNumberOf |
P102026
|
FINISHED |
| Object | nobles appointed by the king |
—
|
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: nobles appointed by the king | Statement: [Bayonet Constitution, decreasedNumberOf, nobles appointed by the king]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decreasedNumberOf Context triple: [Bayonet Constitution, decreasedNumberOf, nobles appointed by the king]
-
A.
reducedNumberOf
chosen
Indicates that the subject has a smaller quantity or count of the specified object or attribute compared to a prior state or reference level.
-
B.
decreedBy
Indicates that something (such as a rule, decision, or order) has been formally established or mandated by a particular authority or decision-making entity.
-
C.
reducedCapacity
Indicates that an entity is functioning with less than its normal or full capacity, ability, or effectiveness.
-
D.
reducedNumberOfMPsFrom
Indicates that an entity has experienced a decrease in its number of MPs (members of parliament) originating from the referenced source entity.
-
E.
reducedNumberOfVoivodeshipsTo
Indicates that an entity has decreased the total count of voivodeships (administrative regions) to a specified number.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.