Triple
T23679891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Pascua |
E584989
|
entity |
| Predicate | religiousTraditionsPracticed |
P24121
|
FINISHED |
| Object | Yaqui Catholicism |
—
|
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: Yaqui Catholicism | Statement: [Old Pascua, religiousTraditionsPracticed, Yaqui Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTraditionsPracticed Context triple: [Old Pascua, religiousTraditionsPracticed, Yaqui Catholicism]
-
A.
religiousTraditions
chosen
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
-
B.
practicesReligion
Indicates that an entity actively follows, observes, or participates in the beliefs, rituals, and customs of a particular religion.
-
C.
religionsPresent
Indicates that one or more religions are present, practiced, or represented in relation to a given entity or context.
-
D.
religiousTraditionDetail
Indicates the specific religious tradition, denomination, or doctrinal detail associated with an entity or relationship.
-
E.
religiousGroupsPresent
Indicates that one or more religious groups are present or represented in a given context, location, or situation.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f73148819089fa0c1a437f91fe |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.