Triple
T9606788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welsh Americans |
E231989
|
entity |
| Predicate | hasNotableReligionDiversity |
P42376
|
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: [Welsh Americans, hasNotableReligionDiversity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableReligionDiversity Context triple: [Welsh Americans, hasNotableReligionDiversity, true]
-
A.
hasNotableReligiousCommunity
Indicates that an entity is known for having a significant or prominent religious community associated with it.
-
B.
religionDiversity
chosen
Indicates the degree to which multiple distinct religions are present and represented within a given context or group.
-
C.
religionSignificantMinorityRegion
Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
-
D.
majorityReligionInUrbanAreas
Indicates that a specified religion is the predominant or most widely practiced faith within the urban areas of a given region or population.
-
E.
isNonReligious
Indicates that an entity does not adhere to, practice, or identify with any religion or religious belief system.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a62372881908bf21be91e7285fb |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.