Triple
T28794402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Church in Vietnam |
E727045
|
entity |
| Predicate | numberOfEcclesiasticalProvinces |
P4404
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Catholic Church in Vietnam, numberOfEcclesiasticalProvinces, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEcclesiasticalProvinces Context triple: [Catholic Church in Vietnam, numberOfEcclesiasticalProvinces, 3]
-
A.
numberOfProvincesInEpiscopalChurch
Indicates the total count of provinces that exist within the Episcopal Church.
-
B.
numberOfDioceses
Indicates the total count of dioceses associated with a given entity.
-
C.
numberOfProvinces
chosen
Indicates the total count of provinces associated with a given entity or within a specified region or country.
-
D.
formerEcclesiasticalProvince
Indicates that one entity was previously an ecclesiastical province to which the other entity belonged or was related, but no longer holds that status.
-
E.
numberOfParishes
Indicates the total count of parishes associated with a given entity.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff9b1ad27081908f8a492396950795 |
completed | May 9, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69ff9a6354c48190ae21070c1424cb7a |
completed | May 9, 2026, 8:34 p.m. |
Created at: April 28, 2026, 6:24 a.m.