Triple
T6731573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas |
E153644
|
entity |
| Predicate | hasSignificantRomanCatholicPopulation |
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: [Texas, hasSignificantRomanCatholicPopulation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantRomanCatholicPopulation Context triple: [Texas, hasSignificantRomanCatholicPopulation, true]
-
A.
hasCatholicDiocese
Indicates that a specified place or region falls under the jurisdiction of a particular Catholic diocese.
-
B.
isOneOfLargestDiocesesIn
Indicates that a diocese ranks among the largest dioceses within the specified region or jurisdiction.
-
C.
hasApproximateAdherents
Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
-
D.
isLargestDioceseOf
Indicates that one diocese is the largest, typically by area or population, within a specified ecclesiastical jurisdiction or region.
-
E.
largestEasternCatholicChurch
Indicates that the subject is the Eastern Catholic Church with the greatest size (typically in terms of membership) among all Eastern Catholic Churches.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d35134148190b49fb5c25a0f8ed4 |
completed | March 27, 2026, 6:58 p.m. |
Created at: March 27, 2026, 2:09 p.m.