Triple
T30787079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Xuân Lộc |
E783983
|
entity |
| Predicate | hasLargeCatholicPopulation |
P73411
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Roman Catholic Diocese of Xuân Lộc, hasLargeCatholicPopulation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargeCatholicPopulation Context triple: [Roman Catholic Diocese of Xuân Lộc, hasLargeCatholicPopulation, true]
-
A.
hasSignificantRomanCatholicPopulation
chosen
Indicates that a place or group has a notably large proportion of its population adhering to the Roman Catholic faith.
-
B.
hasCatholicDiocese
Indicates that a specified place or region falls under the jurisdiction of a particular Catholic diocese.
-
C.
isOneOfLargestDiocesesIn
Indicates that a diocese ranks among the largest dioceses within the specified region or jurisdiction.
-
D.
hasRomanCatholicChurch
Indicates that one entity possesses, contains, or is the location of a Roman Catholic church.
-
E.
isLargestDioceseOf
Indicates that one diocese is the largest, typically by area or population, within a specified ecclesiastical jurisdiction or region.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 29, 2026, 8:41 p.m.