Triple
T17485199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Mainz |
E425760
|
entity |
| Predicate | bishopSinceYear |
P113333
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Roman Catholic Diocese of Mainz, bishopSinceYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bishopSinceYear Context triple: [Roman Catholic Diocese of Mainz, bishopSinceYear, 2017]
-
A.
bishopricEstablishedBefore
Indicates that the establishment of one bishopric occurred earlier in time than the establishment of another bishopric.
-
B.
currentBishopStartYear
chosen
Indicates the year in which the current bishop began serving in their episcopal role.
-
C.
appointedBishopInYear
Indicates that an entity was formally appointed to the position of bishop in a specified year.
-
D.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
-
E.
consecrationYearOfCurrentBishop
Indicates the year in which the current bishop associated with an entity was consecrated.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d13e208190a187b5a08fd2b5d5 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.