Triple
T23679931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoem Pueblo |
E584990
|
entity |
| Predicate | hasReligiousAndSpiritualAssociation |
P83223
|
FINISHED |
| Object | Yaqui spiritual practices |
—
|
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 spiritual practices | Statement: [Yoem Pueblo, hasReligiousAndSpiritualAssociation, Yaqui spiritual practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousAndSpiritualAssociation Context triple: [Yoem Pueblo, hasReligiousAndSpiritualAssociation, Yaqui spiritual practices]
-
A.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
B.
religiousOrRitualAssociation
chosen
Indicates a connection between entities based on shared religious, spiritual, or ritual practices, roles, or significance.
-
C.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
D.
hasReligiousOrganization
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
-
E.
religiousObjectAssociated
Indicates that a religious object is associated with, connected to, or used in relation to another entity (such as a person, place, event, or practice).
- 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.