Triple
T24949347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Asian Canadians |
E624283
|
entity |
| Predicate | religionCommunityIncludes |
P94951
|
FINISHED |
| Object | Zoroastrianism |
—
|
NE NERFINISHED |
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: Zoroastrianism | Statement: [South Asian Canadians, religionCommunityIncludes, Zoroastrianism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionCommunityIncludes Context triple: [South Asian Canadians, religionCommunityIncludes, Zoroastrianism]
-
A.
religiousCommunityServed
Indicates the religious community or faith group that is served, ministered to, or supported by an entity or individual.
-
B.
sharesReligionWith
Indicates that two entities follow or are associated with the same religion or religious tradition.
-
C.
localReligion
Indicates that a particular religion is practiced or holds significance within a specific local area or community.
-
D.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
-
E.
religiousMinorityCommunity
chosen
Indicates a community whose members follow a religion that is numerically or socially less dominant within a larger societal or national context.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 18, 2026, 5:55 a.m.