Triple
T1413224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles III, King of Canada |
E31849
|
entity |
| Predicate | realmSystem |
P15837
|
FINISHED |
| Object | Commonwealth realm |
—
|
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: Commonwealth realm | Statement: [Charles III, King of Canada, realmSystem, Commonwealth realm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realmSystem Context triple: [Charles III, King of Canada, realmSystem, Commonwealth realm]
-
A.
realmType
chosen
Indicates the classification or category of a realm, specifying what kind or type of realm it is.
-
B.
realm
Indicates that one entity is a domain, sphere of influence, or area of control associated with another entity.
-
C.
birthRealm
Indicates the realm, world, or plane in which an entity was born.
-
D.
regulatoryDomain
Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
-
E.
establishedSystem
Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e476f08190aed1576805c62462 |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.