Triple
T30855097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havelberg Cathedral |
E785897
|
entity |
| Predicate | formerBishopSeatOf |
P198851
|
FINISHED |
| Object | Bishop of Havelberg |
—
|
NE NERFINISHED |
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: Bishop of Havelberg | Statement: [Havelberg Cathedral, formerBishopSeatOf, Bishop of Havelberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerBishopSeatOf Context triple: [Havelberg Cathedral, formerBishopSeatOf, Bishop of Havelberg]
-
A.
formerBishop
Indicates that a person once held the position of bishop but no longer occupies that office.
-
B.
formerDiocese
Indicates that an entity was once a diocese but no longer holds that diocesan status.
-
C.
formerCathedralCity
Indicates that a place was once recognized as a cathedral city but no longer holds that cathedral-city status.
-
D.
wasEcclesiasticalPredecessor
Indicates that one ecclesiastical officeholder held a given religious position before another, in a direct line of succession.
-
E.
archbishopricPredecessor
Indicates that one entity previously held the position of archbishop immediately before another entity in the same archbishopric office.
- F. None of above. chosen
Provenance (4 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
| PDg | Predicate description generation | batch_69ff0e9b7acc81909a0ee66201a06877 |
completed | May 9, 2026, 10:38 a.m. |
Created at: April 29, 2026, 8:46 p.m.