Triple
T8954723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primate of Hungary |
E213443
|
entity |
| Predicate | honorificPrecedence |
P58942
|
FINISHED |
| Object | ranks before other Hungarian bishops |
—
|
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: ranks before other Hungarian bishops | Statement: [Primate of Hungary, honorificPrecedence, ranks before other Hungarian bishops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificPrecedence Context triple: [Primate of Hungary, honorificPrecedence, ranks before other Hungarian bishops]
-
A.
honorificOrder
chosen
Indicates the relative ranking or sequence of entities according to a system of honorifics or formal precedence.
-
B.
honorificLevel
Indicates the level of formality or respect expressed toward an entity, typically reflected in language or titles used when addressing or referring to them.
-
C.
honorificPrefix
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
D.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
E.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6724f3e4819092c6b13d80871e80 |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7 p.m.