Triple
T31380038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Metz |
E800424
|
entity |
| Predicate | hasLiturgicalSeat |
P37122
|
FINISHED |
| Object | cathedra in Metz Cathedral |
—
|
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: cathedra in Metz Cathedral | Statement: [Bishop of Metz, hasLiturgicalSeat, cathedra in Metz Cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiturgicalSeat Context triple: [Bishop of Metz, hasLiturgicalSeat, cathedra in Metz Cathedral]
-
A.
hasCatholicosate
Indicates that an entity holds, contains, or is associated with a Catholicosate (the ecclesiastical jurisdiction or office of a Catholicos).
-
B.
hasPapalCathedra
Indicates that an entity (typically a church or cathedral) possesses the official papal seat or throne symbolizing the authority of the Pope.
-
C.
isEcclesiasticalHeadOf
Indicates that one entity serves as the highest religious or church authority for another entity.
-
D.
isDiocesanSeatOf
chosen
Indicates that a location serves as the central administrative seat or headquarters of a particular diocese.
-
E.
hasApostolicSee
Indicates that a religious jurisdiction or entity is under the authority or oversight of a particular apostolic see (central episcopal seat).
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 29, 2026, 9:18 p.m.