Triple
T8954687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archbishop of Esztergom |
E213442
|
entity |
| Predicate | hasTitleInHungarian |
P15390
|
FINISHED |
| Object | esztergomi érsek |
—
|
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: esztergomi érsek | Statement: [Archbishop of Esztergom, hasTitleInHungarian, esztergomi érsek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInHungarian Context triple: [Archbishop of Esztergom, hasTitleInHungarian, esztergomi érsek]
-
A.
nameInHungarian
Indicates that one entity is the Hungarian-language name or designation of another entity.
-
B.
hasTitleInEsperanto
Indicates that an entity has a specific title expressed in the Esperanto language.
-
C.
hasTitleInTransliteration
Indicates that an entity has a specific title represented in a transliterated form from another writing system.
-
D.
hasTitleInGerman
Indicates that an entity has a specific title or name expressed in the German language.
-
E.
hasTitleInLanguage
chosen
Indicates that an entity has a specific title expressed in a particular 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_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.