Triple
T6999807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of the Kingdom of Hungary |
E162305
|
entity |
| Predicate | officialTitleInHungarian |
P27627
|
FINISHED |
| Object | Magyar Királyság kormányzója |
—
|
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: Magyar Királyság kormányzója | Statement: [Regent of the Kingdom of Hungary, officialTitleInHungarian, Magyar Királyság kormányzója]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialTitleInHungarian Context triple: [Regent of the Kingdom of Hungary, officialTitleInHungarian, Magyar Királyság kormányzója]
-
A.
nameInHungarian
Indicates that one entity is the Hungarian-language name or designation of another entity.
-
B.
officeHolderTitleInHungarian
chosen
Indicates the official title or designation of an office holder expressed in the Hungarian language.
-
C.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
-
D.
translationOfOfficialName
Indicates that one name is an official translation of another name in a different language.
-
E.
officialNamePolish
Indicates the official or legally recognized name of an entity as expressed in the Polish language.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0e54c88190b092870f2d128510 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.