Triple
T31759174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthias the Just |
E810633
|
entity |
| Predicate | associatedWithRulerType |
P27868
|
FINISHED |
| Object | reformist 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: reformist monarch | Statement: [Matthias the Just, associatedWithRulerType, reformist monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRulerType Context triple: [Matthias the Just, associatedWithRulerType, reformist monarch]
-
A.
associatedWithRulerNumber
Indicates a relationship where an entity is linked to, or identified by, a specific ruler’s numerical designation (e.g., “Henry VIII” → ruler number 8).
-
B.
hasTypeOfRuler
chosen
Indicates that one entity serves as the specific kind or category of ruler (e.g., monarch, dictator, president) that characterizes or governs another entity.
-
C.
recognizedAsRuler
Indicates that one entity is acknowledged or accepted by others as the legitimate ruler or sovereign authority.
-
D.
involvesRuler
Indicates that the relationship or action includes or pertains to a ruler as a participating party.
-
E.
usedByRuler
Indicates that something is employed, utilized, or otherwise put to use by a ruler or governing authority.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:30 p.m.