Triple
T14549030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of Chicago |
E341363
|
entity |
| Predicate | numberOfCatholics |
P1193
|
FINISHED |
| Object | over 2 million |
—
|
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: over 2 million | Statement: [Archdiocese of Chicago, numberOfCatholics, over 2 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCatholics Context triple: [Archdiocese of Chicago, numberOfCatholics, over 2 million]
-
A.
hasSignificantRomanCatholicPopulation
Indicates that a place or group has a notably large proportion of its population adhering to the Roman Catholic faith.
-
B.
hasApproximateAdherents
chosen
Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
-
C.
numberOfSaints
Indicates the numerical count of saints associated with a given entity or context.
-
D.
largestEasternCatholicChurch
Indicates that the subject is the Eastern Catholic Church with the greatest size (typically in terms of membership) among all Eastern Catholic Churches.
-
E.
numberOfDioceses
Indicates the total count of dioceses 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ed2b4c8190945bd26531c71f1f |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.