Triple
T259467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Taiwan |
E5508
|
entity |
| Predicate | clergyMayMarry |
P10287
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Diocese of Taiwan, clergyMayMarry, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clergyMayMarry Context triple: [Diocese of Taiwan, clergyMayMarry, yes]
-
A.
hasClergyOrder
Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
-
B.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
C.
religiousStatus
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
-
D.
ordainedBy
Indicates that an entity has been formally appointed, consecrated, or invested with authority by another entity.
-
E.
consecratedBy
Indicates that one entity has been formally made sacred, dedicated, or set apart for religious use through a ritual or act performed by another entity.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f9163f881909232f8aea502cf80 |
completed | Feb. 28, 2026, 3:22 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.